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9789267 | 14718422 | 1 | 1. A vein imaging apparatus, for use in imaging veins of a patient and for locating the veins for a medical practitioner by projecting the image onto the patient's skin surface, said vein imaging apparatus comprising: a first laser configured to emit at least a first wavelength of light; one or more photodiodes, said one or more photodiodes each configured to be responsive to said at least a first wavelength of light, to thereby receive a contrasted vein image formed by reflected light at said first wavelength, and to convert said image into a signal; a second laser configured to emit at least a second wavelength of light, being different than said at least a first wavelength of light; a user interface board comprising: electronic circuitry; a display screen; one or more push buttons; a memory; and firmware, said firmware configured to display a scrollable menu screen list of two or more configuration settings, and the parameters for each of said two or more configuration settings, on said display screen, said firmware further configured to permit actuation of said one or more buttons to select and to modify any of said two or more configuration settings to be the default setting for said apparatus, and to permit said selected default settings to be stored in said memory, said two or more configuration settings comprising a plurality of vein visualization settings; and wherein said electronic circuitry is configured to receive said signal from said one or more photodiodes and to output said signal to said second laser, said electronic circuitry configured to cause said second laser to use said signal to emit said at least a second wavelength of light to project said vein image in accordance with said selected vein visualization setting, being optimized for the skin surface. |
20140281945 | 13831102 | 0 | 1. A method of encoding content data into a digital image comprising: determining bit values of a pixel within the digital image; modifying the bit values within the pixel based on content data to be encoded in order to encode the content data into the digital image; wherein determining the bit values of a pixel within the digital image comprises determining a binary representation of the bit values of the pixel and wherein modifying the bit values comprises determining a binary representation of the content data to be encoded within the pixel and encoding the content data using a reversible binary operation. |
8560974 | 13597546 | 1 | 1. A method, comprising: displaying, at a touch-sensitive display, a plurality of characters, each of the characters being a character in a language script; receiving, at the touch-sensitive display, a touch selection for a first character from the plurality of characters, the touch selection being received at a location on the touch-sensitive display at which the first character is displayed; and in response to receiving the touch selection: during a gesture input associated with the touch selection for the first character, precluding a touch selection for each other character from the plurality of characters displayed in the touch-sensitive display; detecting at least a portion of the gesture input at a second, different location on the touch sensitive display, and wherein a portion of the gesture input overlaps a location of the touch-sensitive display at which the first character is displayed during the gesture input; accessing data associating gesture inputs with respective diacritic markers; selecting a diacritic marker based at least in part on the association of gesture inputs with respective diacritic markers, wherein the respective diacritic markers are not displayed during the gesture input and the selected diacritic marker is the diacritic marker associated with the gesture input for which a portion is detected at the second, different location; and displaying, at the touch-sensitive display, an updated representation of the first character based at least in part on the selected diacritic marker. |
20110002515 | 12819497 | 0 | 1. A medical image interpretation system having at least a medical image storing part, a medical image referring part, and a medical record storing part configured to store medical records related with medical images and provided with descriptions of findings about the medical images, the medical image interpretation system comprising: a process controlling part configured to specify a medical image and extract a medical record of a patient of the medical image; an information extraction processing part configured to extract terms for each sentence written in the medical record extracted by the process controlling part, classify the terms into predetermined types to structure the sentence, and extract a region term from the structured sentence; an image region specifying part configured to specify a range of images showing a region corresponding to the region term from the medical image and specify a position and range of the region on the images showing the region; and an image processing part configured to display at least the position and range of the region in a visually recognizable manner. |
9846155 | 14827815 | 1 | 1. A method for determining a measure of the concentration of analyte molecules or particles in a fluid sample, comprising: providing a plurality of a first type of capture objects that each are associated with either at least one analyte molecule or particle or are free of any analyte molecules or particles; providing a plurality of a second type of capture objects that are free of any analyte molecules or particles, wherein the second type of capture objects are distinguishable from the first type of capture objects; addressing at least a portion of the first type of capture objects and determining the percentage associated with at least one analyte molecule or particle; addressing at least a portion of the second type of capture objects and determining at least one signal; and based upon the percentage, either determining a measure of the concentration of analyte molecules or particles in the fluid sample based at least in part on the percentage or particle or determining a measure of the concentration of analyte molecules or particles in the fluid sample based at least in part on the at least one signal and a measured intensity of a signal that is indicative of the presence of a plurality of analyte molecules or particles. |
8670001 | 11565436 | 1 | 1. A method for converting a region of a wide-angle image into a rectilinear image, the method comprising: converting, by a first processor coupled to a memory storing at least a portion of the region of a wide-angle image, a location of a pixel in the rectilinear image into a 3-D position relative to the rectilinear image; in response to a pan parameter, applying, by the first or a second processor, a first rotation matrix to the 3-D position; in response to a tilt parameter, applying, by the first, second or a third processor, a second rotation matrix to the 3-D position; mapping the 3-D position to a location of one or more pixels in the wide-angle image; and setting attributes of the pixel in the rectilinear image using attributes of the one or more pixels in the wide angle image. |
9449085 | 14080173 | 1 | 1. A method implemented by one or more computing devices, the method comprising: hashing a query formed from one or more spectrograms of sound data; locating one or more labels in a database of sound signals using the hashed query as an input as a part of nonnegative matrix factorization, each of the labels located using a hash of an entry in the database; and choosing at least one of the located one or more labels as corresponding to the query. |
20100004923 | 12166647 | 0 | 1. A method for clustering process models each consisting of model elements comprising a text phrase which describes in a natural language a process activity according to a process modeling language grammar and a natural language grammar, wherein the distance matrix is calculated employing both grammars, each distance of said distance matrix indicating a dissimilarity of a pair of said process models, wherein said process models are partitioned into a set of clusters based on said calculated distance matrix. |
8868592 | 13474986 | 1 | 1. A computer-implemented method, comprising: obtaining first profile data for a first user that is associated with a computing device; obtaining second profile data for second users that submitted search queries, the second users being different from the first user; determining, based on the first profile data and the second profile data, similarity scores that are each indicative of a degree of similarity between the first user and at least one of the second users; selecting a proper subset of the search queries based on the similarity scores; generating an update for an autocomplete cache of the computing device associated with the first user using the selected subset of the search queries; and providing the update to the computing device associated with the first user. |
10078333 | 15131014 | 1 | 1. A method, comprising: receiving, by one or more processors, from a three-dimensional vision sensor of a robot, a group of data points sensed by the three-dimensional vision sensor; identifying, by the one or more processors, one or more voxels of a three-dimensional voxel model that are occupied by the group of data points; determining, by the one or more processors, for each occupied voxel, data representing the occupied voxel, wherein the data includes statistics about how a plurality of data points of the group of data points are spatially distributed within the occupied voxel; identifying, by the one or more processors, for each occupied voxel, a column of the three-dimensional voxel model that contains the occupied voxel; and indexing in memory, by the one or more processors the data representing voxels of the three-dimensional voxel model, the indexing comprising indexing, in the memory, the data representing occupied voxels contained in each column by elevation without indexing one or more unoccupied voxels by elevation. |
20130050008 | 13221233 | 0 | 1. A system for detecting and locating changes in an underground region, comprising: a mobile ground penetrating radar (GPR) system having a linear array of antenna elements each configured to transmit a radar signal into an underground region and to receive a return radar signal from the underground region, an electromagnetic field generated by each antenna element during transmission being substantially the same as an electromagnetic field generated by each of the other antenna elements during transmission and an antenna receive pattern of each antenna element during reception being substantially the same as an antenna receive pattern of each of the other antenna elements during reception; a radar processor in communication with the GPR system and configured to generate a GPR image of an underground region; and a registration module in communication with the radar processor and configured to determine a lateral offset of the linear array between a pass over the underground region at a first time and a pass over the underground region at a second time, the registration module configured to spatially align a GPR image acquired for the first time and a GPR image acquired for the second time, and to generate a GPR difference image based on the spatially aligned GPR images, wherein the GPR difference image includes data representative of changes to the underground region that occur between the first and second times. |
7702017 | 11104530 | 1 | 1. A moving picture encoding apparatus comprising: predicted image generating means for generating a predicted image, with respect to a target image as an object to be encoded among a plurality of images constituting a moving picture; difference image generating means for executing a difference operation between the target image and the predicted image to generate a difference image; encoding means for encoding the difference image to generate an encoded difference signal; decoding means for decoding the encoded difference signal to generate a decoded difference image; reproduced image generating means for executing a sum operation of the decoded difference image and the predicted image to generate a reproduced image; storing means for storing a reference image to be used by the predicted image generating means in order to generate the predicted image; and image updating means for performing a weighted summation of a first image which is one of the reproduced image and the reference image stored in the storing means, and at least a portion of a second image which is the other of the reproduced image and the reference image, to generate an updated image, wherein the image updating means stores the updated image into the storing means, and wherein the predicted image generating means uses the updated image stored in the storing means, as a reference image for generating a predicted image with respect to another target image. |
20040098668 | 10468864 | 0 | 1. A method for parsing structured data comprising the steps of: receiving input data in a first computer language; generating a plurality of tokens according to the input data; building a context by using a grammar syntax comprising a set of rules, the context comprising a plurality of context steps in the form of at least one or more chains of context steps, the step of building the context comprising the sub-steps of: detecting if according to the grammar syntax a token is allowable in the context; and if the token is allowable, creating a new context step corresponding to the token; characterised in that the method comprises the further steps for recovering an unallowable token: identifying a suitable context for the unallowable token in which context the token is allowable; and applying the token in the identified suitable context. |
7801354 | 11589872 | 1 | 1. An image processing system comprising: a learning device that generates, in advance, a recognizer for recognizing a recognition target; and a recognition device that recognizes, using the recognizer, whether or not a recognition image includes the recognition target, wherein the learning device includes model feature point generating means for generating a plurality of feature points as model feature points from a model image including the recognition target, model feature quantity generating means for generating feature quantities as model feature quantities at the model feature points, learning feature point generating means for generating a plurality of feature points as learning feature points from a learning image that includes the recognition target or that does not include the recognition target, learning feature quantity generating means for generating feature quantities as learning feature quantities at the learning feature points, learning correlation feature quantity generating means for selecting a learning feature quantity that exhibits the highest correlation with respect to each of the model feature quantities and for generating the level of correlation with respect to the selected learning feature quantity as a learning correlation feature quantity, and recognizer generating means for generating the recognizer in accordance with the learning correlation feature quantity and presence/absence information indicating whether or not the learning image includes the recognition target, and wherein the recognition device includes recognition feature point generating means for generating a plurality of feature points as recognition feature points from the recognition image, recognition feature quantity generating means for generating feature quantities as recognition feature quantities at the recognition feature points, recognition correlation feature quantity generating means for selecting a recognition feature quantity that exhibits the highest correlation with respect to each of the model feature quantities and for generating the level of correlation with respect to the selected recognition feature quantity as a recognition correlation feature quantity, and recognition processing means for determining whether or not the recognition image includes the recognition target by substituting the recognition correlation feature quantity into the recognizer. |
20070136419 | 11637268 | 0 | 1. A system comprising: a high level IM server that includes an image provisioning engine, wherein, in operation, the high level IM server is coupled to a low level IM server; a web server coupled to the high level IM server, wherein the web server includes one or more images embodied in a computer readable medium; wherein, in operation, the web server serves an image to the low level IM server in response to an image provisioning stimulus. |
9852188 | 14312630 | 1 | 1. A method comprising: extracting entities associated with multimedia content, wherein the entities include values characterizing one or more objects represented in the multimedia content; receiving a query related to the multimedia content, the query including one or more terms, being in addition to the multimedia content, and being provided by a user during consumption of the multimedia content by the user; automatically generating, for rewriting the query related to the multimedia content, one or more query rewrite candidates based on the extracted entities and one or more of the terms in the query, wherein the generating is performed when the query related to the multimedia content is received from the user, and wherein generating the one or more query rewrite candidates comprises: scoring the one or more extracted entities based on one or more of: a time at which the extracted entities are annotated in the multimedia content or based on co-occurrences of n-grams in a query repository, the n-grams in the query repository each being a contiguous sequence of n items from a given sequence of text or speech, and the n-grams in the query repository including unigrams, bigrams, trigrams, and four-grams, ranking the extracted entities based on the scoring, and combining one or more of the terms of the query with one or more scored extracted entities to generate the one or more query rewrite candidates; providing the one or more query rewrite candidates to a search engine; scoring the one or more query rewrite candidates based on characteristics of respective result sets resulting from the providing; ranking the scored one or more query rewrite candidates based on their respective scores; rewriting the query related to the multimedia content based on a particular ranked query rewrite candidate; and providing for display, responsive to the query related to the multimedia content, a result set from the search engine based on the rewritten query. |
8325979 | 12311465 | 1 | 1. Method of detecting objects from terrestrial based mobile mapping data, wherein the terrestrial based mobile mapping data has been captured by way of a terrestrial based mobile mapping vehicle driving on a road having a driving direction, the mobile mapping data including laser scanner data, source images obtained by at least one camera and position and orientation data of the terrestrial based mobile mapping vehicle, wherein the laser scanner data includes laser points, each laser point having associated position and orientation data, and each source image comprises associated position and orientation data, the method comprising: retrieving a position and orientation of the terrestrial based mobile mapping vehicle; filtering the laser scanner data in dependence of the retrieved position and orientation of the terrestrial based mobile mapping vehicle to obtain laser points corresponding to regions of interest; retrieving a source image associated with the retrieved position and orientation of the terrestrial based mobile mapping vehicle; mapping the obtained laser points corresponding to regions of interest to image coordinates of the retrieved source image to generate a recognition mask; combining the generated recognition mask and the retrieved source image to obtain candidate 3D Images representative of possible objects within the regions of interest; and, detecting a group of objects from the obtained candidate 3D Images. |
8812430 | 13589715 | 1 | 1. A method to enable assessment of a significance of a network perturbation amplitude (NPA) score with respect to a treated and control contrast, the method comprising: resampling experimental replicates for each of the treated and control conditions one or more times; for each resampling, computing an NPA score using a machine having a hardware element; plotting, as a distribution, the NPA scores computed from the resampled experimental replicates; and identifying a confidence interval for each contrast from the distribution. |
9978003 | 15679989 | 1 | 1. In a digital medium environment, a method of training at least one neural network to automatically select individuals portrayed in digital visual media, the method comprising: identifying a training target individual portrayed in a digital training image; generating a training shape input channel for the digital training image that comprises an estimated shape of the training target individual portrayed in the digital training image; generating a training color channel reflecting colors of pixels in the digital training image; and utilizing the training shape input channel and the training color channel to train a neural network to predict pixels portrayed in probe digital images that reflect target individuals. |
9775508 | 15148795 | 1 | 1. A computer-implementable method of analysing tissues of a retina, the method comprising: receiving a polarization-sensitive (PS-OCT) image data set of the retina from a polarization-sensitive device, each element in the polarization-sensitive image data set being associated with an intensity value ({I 1 ,. .. , I L }) and a polarization direction ({P 1 ,. .. , P L }); determining a likelihood score for each element of the polarization-sensitive image data set based on the intensity value of the element and a degree of divergence (μ* T P or D 2 ) of the polarization direction associated with the element from a reference polarization direction (μ*) associated with the polarization sensitive image data set, wherein the likelihood score indicates whether said element is drawn from a directionally polarized distribution or a depolarizing distribution; and classifying elements of the polarization-sensitive image data set using the determined likelihood scores to analyse tissues of the retina. |
20050196037 | 11055665 | 0 | 1. Method for extracting texture features from an image, comprising a plurality of pixels, comprising: (a) for each of the plurality of pixels, comparing the pixel intensity of the pixel with a threshold to generate a binary mask, comprising a first binary value for every pixel when the pixel intensity exceeds the threshold, or a second binary value when the pixel intensity does not exceed the threshold; characterised in that the image is a multichannel image and the step (a) is repeated for each of the channels to generate a binary mask for each of the channels; and the method further comprises the following steps: (b) for each of the plurality of pixels of at least two different channels, logically combining the binary values for the pixel in the binary mask associated to the first channel with the binary value for the pixel in the binary mask associated to the second channel to obtain a binary interlevel image; and (c) determining one or several texture features from the binary interlevel image. |
20160148340 | 14555177 | 0 | 1. A system for altering a perspective of an image, the system comprising: an image processing module, implemented using at least one hardware processor, for: obtaining a selection of a type of perspective reduction, the perspective reduction gradually narrowing a perspective of the image corresponding to a selected side of the image; rotating an image from an original orientation to an intermediary orientation based on the selected type of perspective reduction, wherein the intermediary orientation comprises one of: 90 degrees clockwise from the original orientation for a left-side type perspective reduction, 180 degrees from the original orientation for a bottom-side type perspective reduction, and 90 degrees counter-clockwise from the original orientation for a right-side type perspective reduction; removing one or more pixels from each of a plurality of rows of the image while the image is positioned in the intermediary orientation, where a quantity of pixels removed from a row of the image is based on a location of the corresponding row in the image; and rotating the image back to the original orientation after removing the one or more pixels. |
8311312 | 12466276 | 1 | 1. A computer-based method for inspecting a polymeric stent, comprising: (a) collecting images showing a portion of the polymeric stent; (b) finding a defect in the portion by computer analysis of the collected images; (c) retrieving samples of defects from previously-inspected polymeric stents, wherein the defect samples include unacceptable defects found in polymeric stents that were rejected and acceptable defects found in polymeric stents that were accepted; and (d) comparing the found defect to both the acceptable defects and unacceptable defects including computing at least one number and, based on this comparison, deciding whether to accept, reject or manually inspect the polymeric stent; wherein the comparing step further includes simultaneously comparing several found defects including bending of two or more adjacent struts appearing at different polymeric stent locations and deciding, based on this comparison, whether to accept, reject or manually inspect the polymeric stent; and wherein the bending of two or more adjacent struts includes at least one of a pair of struts being bent so that the two struts touch each other, a pair of struts being bent so that they overlap each other, or two or more struts that extend beyond the abluminal surface of the polymeric stent by a predefined amount. |
9836028 | 15399062 | 1 | 1. A method for time correction of a timepiece, comprising applying a system for instantly recognizing and positioning an object for detecting the presence of time offset from a correct time in the timepiece, and activating a processing device of the timepiece for time correction of the timepiece in response to the presence of the time offset, wherein the system for instantly recognizing and positioning an object comprises a camera and a processor, wherein: the camera is configured to communicate with the processor and capture a plurality of images of the object by rotating a predetermined angle for each image capture; and the processor is configured to: wirelessly search a wireless identification of the object; receive the captured images of the object from the camera; and recognize the time offset based on the captured images of the object to activate the time correction of the time piece. |
20140126819 | 13670080 | 0 | 1. A non-transitory program storage device, readable by a processor and comprising instructions stored thereon to cause one or more processors to: receive an image having a plurality of portions, wherein each portion corresponds to an area of the image; obtain, for each portion, a confidence value and an alignment value for a first registration parameter; identify a region of interest for the image that is coincident to one or more of the portions; determine, for each portion, an offset value for the first registration parameter that is based, at least in part, on a combination of the portion's confidence value, alignment value and an associated weight value, wherein the weight value is larger for image portions coincident with the region of interest than it is for image portions that are not coincident with the region of interest; determine an image alignment value for the first registration parameter based, at least in part, on a combination of the offset values for each of the portions; and register the image with a prior received image based, at least in part, the image alignment value for the first registration parameter. |
9053562 | 13161866 | 1 | 1. A method comprising: receiving as input a representation of an ordered set of input images representing a scene having at least one object; analyzing, with at least one automated processor, the ordered set of input images to determine at least one first view of the at least one object in at least two dimensions, a depth of the object in the scene, and a motion vector of the at least one object; automatically producing a characterizing identifier of the at least one object, based on at least an automated analysis of image content and metadata in the ordered set of images, with the at least one automated processor, which identifies the at least one object; automatically communicating the characterizing identifier of the at least one object, as a request for at least information extrinsic with respect to the ordered set of input images describing the at least one object, through a packet data communication network; receiving, through the packet data communication network, the requested at least information extrinsic with respect to the ordered set of input images describing the at least one object, comprising respective three dimensional model information for the at least one object; analyzing, with the at least one automated processor, the first view of the at least one object in at least two dimensions, the depth of the at least one object in the scene, the motion vector of the at least one object, and the received at least information extrinsic with respect to the ordered set of images describing the at least one object, to track the at least one object in the scene, and to automatically infer at least a state of a hidden surface of the at least one object in the ordered set of input images; and generating, based on at least said analyzing, a time varying output representing the tracked at least one object and at least a portion of the hidden surface in an ordered set of output images representing the scene. |
6163322 | 09032169 | 1 | 1. A computer readable storage medium containing a program element for directing a computer to generate data providing a graphical representation of a synthetic body part in a desired posture, said program element implementing functional blocks comprising: a first input unit for receiving source data that is representative of the synthetic body part in the desired posture; a second input unit for receiving basic posture data from a database containing data elements, the data elements being representative of the body part in different postures; and a processing unit for processing said source data and said basic posture data to generate the data providing a graphical representation of the synthetic body part in the desired posture. |
20030105614 | 09995222 | 0 | 1. A method executed in a computer system for producing a combined system of partial differential equations comprising: representing each of a plurality of systems as an application mode modeling physical quantities of said each system; determining a representation of a partial differential equation system for each application mode corresponding to one of said plurality of systems using at least one non-local coupling, said at least one non-local coupling defining a value from a first portion of a first domain to another part of a second domain; and forming said combined system of partial differential equations using partial differential equation systems associated with said plurality of systems. |
20120293610 | 13109941 | 0 | 1. A method to generate a panoramic image, comprising: obtaining a first image having a first region and a second region, the second region including a first representation of a face, the first image stored in a first memory; obtaining a second image having a third region and a fourth region, the third region including a second representation of the face, the second image stored in a second memory; aligning the first and second images so that the second and third regions overlap to generate an overlap region; masking an area corresponding to the first representation of the face in the overlap region to generate a mask region; blending the first and second images in the overlap region, except for the mask region, to generate a blended region; and generating a result image comprising the first region, the fourth region and the blended region wherein the area in the blended region corresponding to the mask region is replaced with the first representation of the face. |
7542969 | 11265994 | 1 | 1. A method of searching for information, comprising: receiving a query; providing the query to a first search engine that searches a set of data sources, the data sources having relationships to at least one ontology, the ontology modeling relationships between concepts in a domain and data source content containing information specific to the concepts; receiving search results from the search engine; analyzing the search results with one or more processors to determine at least one statistic corresponding to the search results and the query, wherein the statistic is based upon a relevance score for each of a plurality of concepts given the query, the relevance score expressed as r cq = w ( c ) ∑ i [ w ( i ) f ( h c , h q ) ] where w(c) is a weighing function related to a concept c, w(i) is a weighing function for a data source item i, h c is a set of items related to the concept c, h q is a set of items related to the query q, and ƒ(h c , h q ) is a normalized score function, wherein weighing function w (i) varies by data source; providing a subset of the concepts to a user based on the relevance score; and using a template to process domain specific rules and the subset of the concepts. |
8840210 | 13905593 | 1 | 1. A method of controlling a print system, the method comprising: obtaining an image to be printed on a substrate; obtaining a density profile of the image; identifying nozzles to be used to print the image; obtaining a distance offset of the nozzles; generating a power profile for printing the image, wherein the power profile is generated based on the density profile of the image and the distance offset, the power profile indicating an amount of power to be consumed over time to print the image; and printing different portions of the image at different speeds according to the power profile. |
10044862 | 15581798 | 1 | 1. A computer-implemented topic guidance method for a call between an agent and a customer, the method comprising: creating, via a processor on the computer, a conversation model by learning a conversation pattern from a customer response to a conversation topic segment, a current state of the customer, and a context of the conversation topic segment; and suggesting, via the processor on the computer, a conversation topic for the agent to engage the customer in the conversation topic based on a customer response associated with the conversation model, analyzed conversation text the current state of the customer, and the context of the conversation topic segment. |
8566717 | 12145237 | 1 | 1. A computer-readable memory device containing stored computer-executable instructions that, when executed, perform a method for initiating a teaching animation for demonstrating a manual gesture, the method comprising: determining a current condition of a writing-pad tool running on the computing device, wherein determining includes recognizing whether content is provided within a content-entry area generated by the writing-pad tool; using the current condition of the writing pad tool to determine which actions are available for invocation and which actions are unavailable, wherein using the current condition comprises: (a) when content is provided within the content-entry area of the writing-pad tool, designating one or more editing actions as being active, while one or more managing actions are designated as being inactive; and (b) when content is absent from the content-entry area of the writing-pad tool, designating the one or more managing actions as being active, while the one or more editing actions are designated as being inactive, wherein the one or more editing actions differ in functionality from the one or more managing actions; enabling a first group of teaching animations to that are associated with the actions that are designated as being active; disabling a second group of the teaching animations that are associated with the actions designated as being inactive; receiving a user-initiated input in association with a writing-pad tool surfaced on a touchscreen interface of a computing device; based on the user-initiated input, launching one or more of the teaching animations that are enabled; and rendering at the touchscreen interface an indication of launching the one or more teaching animations. |
20060047635 | 10926735 | 0 | 1. A method of organizing and presenting information to a user, comprising: analyzing an event associated with the user to determine a contextual setting; dynamically generating a search query based on the contextual setting; searching at least one information source using the search query to generate a search result; calculating an importance value for each item of the search result, the importance value indicative of the contextual setting; sorting the items of the search result according the importance value; and displaying the sorted search result to the user. |
20100119132 | 12646497 | 0 | 1. A method of determining an agglutination pattern type for a pattern formed in a reaction vessel, comprising: (A) setting a plurality of reference spaces based on one or a plurality of types of typical reaction images; (B) setting one or a plurality of types of unit regions in each of the reference spaces obtained in (A) and determining a Mahalanobis distance for each unit region; (C) setting a threshold value from each of the Mahalanobis distances obtained in (B); (D) setting one or a plurality of unit regions for a reaction image to be determined as an object image and determining the Mahalanobis distance for each of the unit regions; and (E) determining the agglutination pattern type for the object image by comparing the threshold value set in (C) with the distances determined in (D). |
9019201 | 12684556 | 1 | 1. A method for evolving a gesture set in a gesture-based system, the method comprising: capturing data representative of a user in a physical space; processing the captured data to identify a first motion or pose for the user, the first motion or pose for the user being processed to determine a first confidence level that the first motion or pose is the same as a computer representation of a motion or pose for a particular gesture that invokes an input command to modify a visual output of a computer, wherein the first motion or pose is processed to generate values for parameters associated with the particular gesture in a gesture filter, said first confidence level indicating a likelihood that the values of the parameters associated with the first motion or pose correspond to the values of the parameters of the particular gesture so as to cause the first motion or pose to be recognized as the particular gesture by the gesture filter to, in turn, invoke the input command to modify the visual output of the computer; and modifying the computer representation of the motion or pose invoking the input command based on the first motion or pose by the user such that subsequently captured data of the user or another user performing the first motion or pose is processed to determine a second confidence level that the first motion or pose is the same as the modified computer representation of the motion or pose for the particular gesture, said second confidence level indicating a likelihood that the values of the parameters associated with the subsequently captured first motion or pose correspond to the values of the parameters of the particular gesture so as to cause the subsequently captured first motion or pose to be recognized as the particular gesture by the gesture filter to, in turn, invoke the input command to modify the visual output of the computer, the second confidence level being greater than the first confidence level. |
20160148424 | 14791626 | 0 | 1. A method performing a graphics pipeline, by a graphic processing unit, on a frame including an object partitioned into one or more tiles, the method comprising: performing a binning pipeline including: generating an output patch; determining the number of tiles that include the output patch; determining whether to perform tessellating on the output patch based on the determined number of tiles; and binning a tile list of one of the output patch or tessellated primitives of the output patch based on whether tessellating is performed; and performing a rendering pipeline per tile based on the binned tile list. |
20100014724 | 12245435 | 0 | 1. A method for determining physiological information, comprising: receiving a signal; using a plurality of basis functions to generate information about the signal, performing a continuous wavelet transform of the signal for a plurality of scales selected based at least in part on the information generated using the plurality of basis functions; and determining the physiological information based at least in part on the wavelet transform. |
10073335 | 15517176 | 1 | 1. A projection device for projecting at least one image onto a projection surface, comprising: at least one discharge lamp operated by alternating current with a first electrode and a second electrode, a control device for driving the discharge lamp, wherein the control device is designed to drive the discharge lamp in such a way that the at least one image is projected with a specifiable refresh rate onto the projection surface, wherein the control device is designed to provide at least one base current waveform for driving the discharge lamp, wherein the base current waveform exhibits a current commutation scheme that is described by a commutation vector that comprises a binary value for specifiable locations of a possible current commutation which states whether a current commutation takes place at the location concerned, and a measuring device for determining a measured value correlated to a state variable of the discharge lamp, wherein the control device is designed, on the basis of an evaluation of at least one measured value of the measuring device determined during a drive of the discharge lamp with a current waveform to be checked, to check the current waveform in respect of its suitability for minimizing an electrode burn-back of the first electrode and the second electrode, and in the case of a positive check result, to retain the checked current waveform, and in the case of a negative check result, depending on a checked commutation vector characterizing the checked current waveform, to create, by means of a specifiable algorithm, a modified commutation vector that characterizes a modified current waveform. |
10127945 | 15071154 | 1 | 1. A computer-implemented method to provide a visualization from images, the method comprising: obtaining a set of images; determining, by a processor, one or more pixel characteristics of the set of images; detecting, by the processor, one or more faces depicted in the set of images based on the one or more pixel characteristics of the set of images; determining, by the processor, a respective score for each of a plurality of templates stored in a storage device, wherein the respective score is based on one or more of a frequency or strength of one or more pixel characteristics detected in the set of images that match template scoring characteristics of the template associated with the respective score, wherein each template defines a different set of selection characteristics of images as a basis to select an associated plurality of images from the set of images; determining a recommended group of templates from the plurality of templates based on the respective scores of the templates; causing the recommended group of templates to be displayed on a user device as displayed elements selectable by a user; receiving a selection of at least one template of the recommended group of templates based on input received by the user device from the user; selecting, by the processor and without user input, a group of images from the set of images, wherein selecting the group of images is based on the at least one selected template by selecting the group of images that match the set of selection characteristics defined by the at least one selected template, wherein the group of images is selected such that at least one different face is depicted in each image of the group of images; generating, by the processor and without user input, the visualization including the group of images; and providing the visualization to the user device in response to a user request to cause the group of images to be displayed by the user device. |
20050100214 | 10704785 | 0 | 1. A method of segmenting at least one ink stroke into at least one plurality of segmented ink strokes, the method comprising: finding at least one pair of local extrema points on the at least one ink stroke; identifying a closest matching stroke-segmentation pattern by comparing at least first, second, and third stroke segments of the at least one ink stroke to a set of stroke-segmentation patterns, wherein the first, second, and third stroke segments are adjacent to the at least one pair of local extrema points; and segmenting the at least one ink stroke into the at least one plurality of segmented ink strokes based on a stroke-segmentation rule that corresponds to the identified closest matching stroke-segmentation pattern. |
8874356 | 13748708 | 1 | 1. A method comprising: receiving information from a control system indicative of a sequence of coverage requirements for a data network for a region over a period of time, wherein the region is characterized by a plurality of landmarks and the period of time is divided into a plurality of phases, and wherein a given coverage requirement of the sequence of coverage requirements is indicative of a desired number of vehicles of a plurality of vehicles for respective landmarks at a given phase; dividing the region into a plurality of sub-regions; determining, by a processor of the control system, sub-region fleet plans for the plurality of sub-regions based on both estimates of one or more vehicles entering respective sub-regions and estimates of one or more vehicles leaving the respective sub-regions, wherein a given sub-region fleet plan of the determined sub-region fleet plans is indicative of one or more landmarks for the one or more vehicles to travel to during one or more phases of the plurality of phases, and indicates both a first number value of vehicles entering the given sub-region and a second number value of vehicles leaving the given sub-region during respective phases, and wherein the first number value of vehicles is different than the second number value of vehicles; combining, by the processor of the control system, the determined sub-region fleet plans to produce a fleet plan responsive to the sequence of coverage requirements for the region; and providing, by the processor of the control system, instructions to the one or more vehicles to travel according to the fleet plan. |
20120078825 | 13198560 | 0 | 1. A method comprising: implementing a goal model using machine learning; inputting, responsive to a search query, a plurality of data factors into the goal model to create a model output; presenting, to a user, search results based on the model output. |
20120083943 | 13377168 | 0 | 1. A method for determining set-point values for a vehicle's control systems, comprising the steps of: A) determining a horizon by means of position data and map data of an itinerary made up of route segments with at least one characteristic for each segment; B) calculating threshold values for said at least one characteristic of segments according to one or more vehicle-specific values, which threshold values serve as boundaries for assigning segments to various categories; C) comparing said at least one characteristic of each segment with the calculated threshold values and placing each segment within the horizon in a category according to the results of the comparisons; D) calculating set-point values for the vehicle's control systems across the horizon according to rules pertaining to the categories in which segments within the horizon are placed; E) regulating the vehicle according to the set-point values. |
20070147820 | 11319766 | 0 | 1. A digital image acquisition system having no photographic film, the system comprising an apparatus for capturing digital images and a flash unit for providing illumination during image capture, the system having a portrait mode for generating an image of a foreground object against a blurred background, the portrait mode being operable to capture first, second and third images of nominally the same scene, not necessarily in the order stated, one of the first and second images being taken with flash and the other being taken without flash, and the third image being blurred compared to the first and second images, the portrait mode further being operable to determine foreground and background regions of the scene using the first and second images, and to substitute the blurred background of the third image for the background of a substantially in-focus image of the scene. |
9942470 | 15284280 | 1 | 1. A method of in-camera processing to provide an increased number of smiling faces in a recorded digital image of a group of faces, comprising: acquiring one or more digital images; and providing in-camera processing which automatically: identifies one or more faces in a first one of the images; from among the one or more faces, identifies a particular number of non-smiling faces; and based, at least in part, on the particular number, initiates one or more operations when a predetermined minimum number of non-smiling faces are in the first image, said one or more operations including: delaying recording of an image until the number of non-smiling faces in a subsequently acquired image is less than the predetermined number and, when the number of non-smiling faces in a subsequently acquired image is less than the predetermined number, forming a composite image, based on the subsequently acquired image and one or more of the other images, to further reduce the number of non-smiling faces by replacing a face region in the subsequently acquired image with a face region in one of the one or more of the other images; and recording the composite image as digital content in a storage medium. |
9479508 | 14834052 | 1 | 1. A system, comprising: one or more processors; and a computer-readable storage medium that is coupled to the one or more processors and that has instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations comprising: storing a plurality of documents in computer-readable memory, each document of the plurality of documents having a corresponding access control list (ACL), each ACL defining a plurality of users that are authorized to access a respective document; generating an index based on the plurality of users, the index comprising a plurality of partitions, each partition corresponding to a user of the plurality of users; and for each document of the plurality of documents: ranking the users of the plurality of users based on respective identifiers assigned to the users, the ranking comprising: receiving a plurality of identifiers based on users identified in a respective ACL; for each identifier in the plurality of identifiers, generating a corresponding hash value to provide a plurality of hash values; and ranking the plurality of hash values in order to provide a ranking; selecting a user as an indexing user based on the ranking; and storing the document in a partition of the plurality of partitions of the index, the partition corresponding to the indexing user. |
6069606 | 08857183 | 1 | 1. A method for displaying a plurality of images in a computer system, comprising the steps of: determining a temporal order of said images representing a chronological order in which said images are obtained by said computer system; designating one of said images as a first image; displaying said images sequentially in said temporal order such that said images are displayed in different sizes in accordance with said temporal order, wherein said first image is displayed in the largest size among the displayed images; arraying the displayed images along a line such that the sizes of the displayed images progressively increase/decrease along said line in accordance with said temporal order whereby a temporal relationship among the displayed images is readily discernible, wherein said line forms two spiral chains which are temporally connected to each other such that said first image is located at a temporal connecting point of said two spiral chains, wherein said images which are older in said temporal order than said first image are arrayed according to said temporal order in one of said two spiral chains and wherein said images which are newer in said temporal order than said first image are arrayed according to said temporal order in the other of said two spiral chains; and wherein said steps of displaying and arraying are reiterated when another image is designated as said first image such that each successive image in said temporal order is displayed in a smaller size and arrayed such that said temporal order is maintained. |
20080272186 | 12177833 | 0 | 1. A security document database, the database storing security document data including, for each of a number of security documents: identity data, the identity data being at least partially indicative of an identity of the security document; attribute data, the attribute data being at least partially indicative of one or more attributes of the security document; wherein, in use, the security document database allows a computer system to: receive, from a sensing device, indicating data at least partially indicative of at least one of: the identity; and one or more attributes; use the received indicating data and the security document data to perform an action associated with the security document. |
8492637 | 13288335 | 1 | 1. An information processing apparatus comprising: a musical composition section extracting unit which extracts musical composition sections with tempos which are close to a preset reference tempo based on tempo information indicating a tempo of each section constituting musical compositions; a harmonization level calculating unit which calculates a harmonization degree for a pair of musical composition sections extracted by the musical composition section extracting unit, based on chord progression information indicating chord progression of each section constituting musical compositions; and a harmonization section extracting unit which extracts a pair of sections with a high harmonization degree for the musical compositions calculated by the harmonization level calculating unit from among sections extracted by the musical composition section extracting unit, wherein the harmonization level calculating unit weights the harmonization degree for the musical compositions such that a large value is set to the harmonization degree between musical compositions with a predetermined relationship. |
20120292529 | 13473820 | 0 | 1. A stroboscopic optical image mapping system, comprising: a control module performing a delay control on a first pulse signal which has a plurality of pulses formed by a pulse period, thereby generating a delayed pulse signal, wherein a time interval between two adjacent pulses of the delayed pulse signal has a first time difference with respect to the pulse period; a light source module providing an incident light to be projected on an organic object with a dye contained therein, wherein the organic object is stimulated by a second pulse signal thereby generating a sequential action potential, and the incident light excites the dye inside the organic object such that the organic object generates a fluorescent light corresponding to the intensity of the sequential action potential; and an image acquiring unit coupled to the control module, the image acquiring unit acquiring the fluorescent light according to the delayed pulse signal thereby forming a plurality of fluorescent images. |
8683592 | 13341174 | 1 | 1. A method for managing data in an electronic system for forensic analysis, comprising: operating the electronic system; collecting a record of network activities occurring in the electronic system as the electronic system operates; collecting a record of storage activities occurring in the electronic system as the electronic system operates; associating the record of network activities with the record of storage activities to obtain forensic information about events affecting both network activities and storage activities, including applying a common timing reference to the record of network activities and the record of storage activities to associate network activities and storage activities with one another in time; and aligning in time the record of network activities and the record of storage activities by identifying multiple record entries for each of network activities and of storage activities corresponding to substantially the same points in time. |
9220196 | 13113555 | 1 | 1. A method, implemented by a processor including a memory, for automatic adjustment of at least one of several working units of a self-propelled harvesting machine involved in a harvesting process, comprising the steps of: the processor initially modeling the harvesting process by at least one program map that tracks a current harvesting process, based on a data base characteristic of the current harvesting process; determining an initial working point of the at least one of the working units on a basis of the initial modeling of the harvesting process by the at least one program map; adapting continuously the at least one program map on a basis of data currently collected by measurements and which influence the harvesting process; determining a new working point of the at least one working unit of the harvesting machine depending on the continuous adapting of the at least one program map; approximating the setting of the working unit at the new working point in an iterative process, starting from the initial working point of the at least one working unit of the harvesting machine; and displaying optimization criteria of the automated process to the operator of the harvesting machine in a display unit in a selectable manner using a touchscreen function or a keypad, said optimization criteria comprising the quality of the crop material required for a certain intended use of the crop material, the optimization criteria for the working units or both; wherein the program map maps a separation process, in which crop loss due to separation is depicted as an output variable as a function of the rotor speed and throughput is depicted as an input variable as a function of crop layer thickness. |
20140374486 | 13923574 | 0 | 1. A computer implemented method comprising the steps of: receiving an image from an image capture device; executing the following first group of steps when the received image includes an optical code: processing the received image to recover information encoded within the optical code; and transmitting the recovered information; executing the following second group of steps when the image includes a portion of a document: storing the image; receiving a new image from the image capture device; repeating the storing and receiving steps in the second group of steps until the received image does not include a portion of the document and then executing the following third group of steps: processing each of the stored images to identify the image data that represents the portion of the document captured within each stored image; combining the identified portions of the document from each stored image to create a new single image of the entire document; and transmitting the new image of the document. |
8296725 | 12410491 | 1 | 1. A method for performing variation oriented analysis across aspects of service oriented architecture modeling, comprising: capturing a commonality or a variance of a first process of an initial model plurality of processes relative to a second process of the initial model plurality, each of the first and second initial model processes having an initial model process format; storing the initial model processes commonality or the initial model processes variance in a common repository memory device in a repository format, the repository format different from the initial model process format; capturing at least one of a commonality or a variance of a third process of another model plurality of processes relative to a fourth process of the another model plurality, each of the third and fourth another model plurality processes having an another model process format different from the initial model process format and the repository format; storing the commonality or the variance of the another model processes in the common repository memory device in the repository format; and refining at least two processes of the initial model plurality processes into a refined initial model plurality process as a function of at least one of the stored initial model commonality, the stored initial model variance, the stored another model commonality and the stored another model variance; wherein the refining comprises considering any of the stored commonality and the stored variance of the initial model processes and the stored commonality and the stored variance of the another model processes. |
20160225193 | 14614200 | 0 | 1. A method for communicating product development information, the method comprising: generating, by a server, a first interface configured to facilitate uploading data that defines a 3D image of a product to the server, and to facilitate specifying reviewer identifying data associated with one or more reviewers for reviewing the 3D image; receiving, via the first interface, the 3D image and the reviewer identifying data; generating, by the server, a second interface that includes a viewer that facilitates viewing the 3D image and one or more fields for specifying feedback information related to the 3D image; receiving, via the second interface, feedback information related to the 3D image; and communicating the feedback information to a designer associated with the 3D image. |
7483587 | 11119232 | 1 | 1. A method for filtering image information to generate a dithered image, comprising: receiving input image information, the input image information corresponding to an image generated using a first array comprising a first number of small pixels; generating intermediate image information from the input image information, the intermediate image information generated to produce the image using a second array comprising a second number of large pixels, the second number less than the first number, an actual frequency response associated with the image produced using the second array exhibiting one or more aliasing effects, the actual frequency response indicating a frequency response of a device producing the image using the second array; repeating the following steps for a plurality of iterations to generate updated image information from the intermediate image information: filtering the intermediate image information according to a frequency compensating function in order to adjust the actual frequency response to at least approximate a desired frequency response, the desired frequency response reducing the one or more aliasing effects; and generating sub-image information from the updated image information, the sub-image information corresponding to a projected dithered image. |
8285531 | 12105108 | 1 | 1. A method of optimizing a drilling tool assembly comprising: inputting well data into an optimization system, the optimization system including an experience data set and an artificial neural network; comparing the well data to the experience data set; developing an initial drilling tool assembly based on the comparing the well data to the experience data, wherein the drilling tool assembly is developed using the artificial neural network; simulating the initial drilling tool assembly in the optimization system; creating result data in the optimization system based on the simulating; and optimizing the drilling tool assembly based on the result data. |
10108775 | 14030743 | 1 | 1. An information processing system for reducing search time of features in sample data and reducing computation time when training a model for generating specialized data based on the features, the information processing system comprising: a memory; a processor communicatively coupled to the memory; and a feature selection circuit coupled to the memory and the processor, wherein the feature selection circuit is configured to perform a plurality of operations comprising: receiving a set of genetic markers and a phenotype from at least one external information processing system; training an epistasis effect model based on the set of genetic markers and the phenotype; reducing computation time of the information processing system during the training of the epistasis effect model and further reducing feature selection time of the epistasis effect model, wherein reducing the computation time and the feature selection time comprises: determining, for each of the set of genetic markers, a relevance score with respect to the phenotype according to I(x j training ;c training ), where I is mutual information between a given genetic marker x j and a phenotype c, where mutual information I between two variables x and y is defined, based on their joint marginal probabilities p(x) and p(y) and probabilistic distribution p(x, y), as: I ( x , y ) = ∑ i , j p ( x i , y i ) log p ( x i , y i ) p ( x i ) p ( y i ) ; setting a threshold based on the relevance score of a genetic marker in the set of genetic markers with a highest relevancy score; determining, for at least one individual genetic marker in the set of genetic markers having a relevance score satisfying the threshold, a relevance score for at least one interaction between the at least one individual genetic marker and at least one other individual genetic marker in the set of genetic markers; adding the at least one interaction to a top-k feature set based on the relevance score of the at least one interaction satisfying the threshold, wherein the top-k feature set comprises one or more markers and one or more interactions, and wherein each of the one or more genetic markers and each of the one or more interactions comprises a top-k relevance score; identifying a subset of the top-k feature set based on the set of genetic markers, wherein each feature in the subset of the top-k feature set maximizes a relevancy with the phenotype and minimizes a redundancy with respect to other selected features; and training the epistasis effect model utilizing at least the subset of the top-k feature set, wherein the epistasis effect model predicts phenotypes for genetic markers; storing the trained epistasis effect model in memory; electronically obtaining, a new set of a set of genetic markers that is associated phenotype data; and executing the trained epistasis effect model, wherein executing the trained epistasis effect model comprises inputting the new set of genetic markers into the trained epistasis effect model; and outputting a phenotype for the new set of genetic markers, wherein the phenotype that was outputted was not made available to the feature selection circuit as part of the new set of genetic markers. |
9710935 | 14371473 | 1 | 1. A method for coding a pixel intensity of a pixel of an image, the method comprising: selecting at least one reference pixel from pixels of the image, wherein the selecting comprises use of respective prediction errors of previously coded pixels; providing a model function that (a) provides a specific prediction method for generating a predicted pixel intensity candidate based on the respective intensity of one or more reference pixels, and (b) uses an adaptive rule for generating the predicted pixel intensity candidate, wherein the adaptive rule is based on intensity characteristics of the reference pixels; setting the predicted pixel intensity candidate for the pixel based on the model function as a predicted pixel intensity; and coding the pixel intensity of the pixel based on the predicted pixel intensity, wherein the coding comprises selecting probability distributions used for entry coding by an entropy coder of a prediction error that is based on a subtraction of the predicted pixel intensity from the pixel intensity of the pixel. |
20090021614 | 11880396 | 0 | 1. A method for determining a plurality of spatial relationships associated with a plurality of image capturing devices, comprising: acquiring sets of a plurality of source images from a plurality of image capturing devices; determining a plurality of transforms for each such set of source images for combining said acquired source images into a plurality of seamless images; determining a plurality of relative positions associated with said plurality of image capturing devices based on said plurality of transforms; and determining a plurality of spatial relationships associated with said plurality of image capturing devices based on said transforms and plurality of relative positions associated with said plurality of image capturing devices. |
20120203720 | 13446942 | 0 | 1. A computer-implemented pattern recognition method comprising: obtaining a trainable recognition system using one or more computers; obtaining a first item to be recognized comprising one or more units to be recognized; obtaining, using the one or more computers, a plurality of hypotheses for class labels of said one or more units; creating, using the one or more computers, a plurality of trained model variants for said trainable recognition system by training said recognition system based at least in part on said first item to be recognized, and labeling each of the trained model variants respectively with the class labels based at least in part on a different one of the hypotheses in said plurality of hypotheses for the class of labels of said one or more units; obtaining a set of practice data with labels; performing recognition, using the one or more computers, of said practice data respectively using each of said plurality of trained model variants to obtain recognition results; measuring performance, using the one or more computers, of each of said trained model variants based at least in part on the recognition results obtained for the set of practice data and the labels for the practice data; determining, using the one or more computers, one of said trained model variants with a best measured performance; and selecting, using the one or more computers, as the class labels for said first item to be recognized the class labels of said one or more units associated with the one trained model variant determined to have the best measured performance, thereby using the hypothesis that among the plurality of hypotheses has a best measured performance. |
9563949 | 13912641 | 1 | 1. A method of medical image registration, the method comprising: obtaining a first medical image; obtaining a second medical image generated in real time; extracting first landmark points of the first medical image and the second medical image from a first adjacent anatomical object recognizable in the second medical image among anatomical objects near an organ of interest; extracting second landmark points of the first medical image and the second medical image from a second adjacent anatomical object recognizable in the second medical image among anatomical objects near an organ of interest; and registering the first medical image and the second medical image by matching a coordinate system of the first medical image and a coordinate system of the second medical image based on a geometrical correlation among the adjacent anatomical objects indicated by the first and the second landmark points of the first medical image and a geometrical correlation among the adjacent anatomical objects indicated by the first and the second landmark points of the second medical image, wherein the matching of the coordinate system further comprises: selecting boundary regions indicating silhouettes of the adjacent anatomical objects in the first medical image and the second medical image based on a change of a brightness of voxels of the first medical image and the second medical image; and correcting a coordinate system of the first medical image or the second medical image based on a similarity between directions in which the brightness of the voxels increases and decreases in the boundary regions selected in the first medical image and the second medical image. |
4802230 | 07026672 | 1 | 1. A method of operating a computer to extract size-invariant, orientation-invariant features of an electronically scanned character, the method comprising the steps of: (a) providing a plurality of x and y coordinates of a plurality of perimeter pixels of the scanned character; (b) operating on the x and y coordinates to determine values of a preselected parameter of a plurality of minimum bounding polygons each oriented differently relative to the character, each minimum bounding polygon having a plurality of sides each of which touches at least one respective perimeter point of the character, respectively; and (c) operating on the values of eliminate size and orientation information therefrom, to thereby produce the extracted features. |
20100076954 | 12628989 | 0 | 1. A method of detecting duplicate documents, comprising: at a server having one or more processors and memory: receiving a first document, the received document characterized by a document content identifier; selecting, from a plurality of previously received documents, a set of documents sharing the same document content identifier, the first document and the selected set having associated score information; wherein documents having the same document content identifier have the same content and documents having different document content identifiers have different content; updating the selected set of documents with the first document, in accordance with the score information associated with the first document and the selected set of documents, to produce an updated set of documents; and identifying a representative document for the updated set of documents in accordance with the score information. |
9232208 | 13441424 | 1 | 1. An image property detection apparatus for processing a pair of images representing different respective views of a scene to generate a colour property difference amount, the apparatus comprising: a difference detector configured to derive a difference amount dependent upon an average of differences in colour properties between the pair of images at each of a set of possible image colours, each of the set of possible image colours being weighted by image content of at least one of the pair of images at that respective image colour; an area selector configured to select an area of the image over which a histogram is to be calculated, such that the area is divided into pixel value bins; and a noise adder configured to add a noise signal to an output signal of the area selector such that pixels that are adjacent to a boundary of two bins are randomly placed into the bins on either side of the boundary. |
9928292 | 15389594 | 1 | 1. A computer system for classifying a uniform resource locator (URL), the computer system comprising: A processor set; and A non-transitory computer readable storage medium; Wherein: The processor set is structured, located, connected, and/or programmed to run program instructions stored on the non-transitory computer readable storage medium; and The program instructions include: First program instructions programmed to configure a bloom filter to identify a pre-determined set of URL categories; Second program instructions programmed to program the bloom filter with a set of URLs, each URL in the set of URLs belonging to a respectively corresponding URL category of the pre-determined URL categories; Third program instructions programmed to extract a second URL in-line with a data transmission from a network packet stream; Fourth program instructions programmed to determine a set of hash strides for the second URL; Fifth program instructions programmed to query the bloom filter with each hash stride of the set of hash strides, the querying being performed in a data plane; Sixth program instructions programmed to identify a sub-set of categories from the pre-determined set of URL categories, the sub-set of categories being URL categories that correspond to the second URL; Seventh program instructions programmed to determine a first URL category based, at least in part, on a programmable mapping table that defines the sub-set of URL categories as the first URL category; and Eighth program instructions programmed to report the first URL category as a classification of the second URL in human-readable form. |
20030228040 | 10455417 | 0 | 1. An anatomical characteristic position detecting system comprising a shape information obtaining means which obtains shape information for use at least in generating an artificial image corresponding to an input medical image of an object, and an anatomical characteristic position detecting means which detects an anatomical characteristic position of the object on the basis of the shape information obtained by the shape information obtaining means. |
20170287465 | 15087696 | 0 | 1. A text-to-speech learning system, the system comprising: at least one processor; and memory, operatively connected to the at least one processor and storing instructions that, when executed by the at least processor, cause the at least one processor to perform a method for generating a pronunciation sequence conversion model, the method comprising: generating a first pronunciation sequence from a speech input of a training pair; generating a second pronunciation sequence from a text input of the training pair; determining a pronunciation sequence difference between the first pronunciation sequence and the second pronunciation sequence; and generating a pronunciation sequence conversion model based on the pronunciation sequence difference. |
9754172 | 14373068 | 1 | 1. A three-dimensional object detection device comprising: a camera arranged to capture images rearward of a host vehicle equipped with the three-dimensional object detection device; and a computer; the computer being programmed to set a detection area for detecting a three-dimensional object rearward of the host vehicle; the computer being programmed to convert a viewpoint of the images obtained by the camera to create bird's-eye view images; the computer being programmed to detect a presence of a three-dimensional object within the detection area in which the bird's-eye view images obtained at different times are aligned, and difference waveform information is generated by counting and creating a frequency distribution of a number of pixels that indicate a predetermined difference having a difference threshold value or greater in a difference image of the bird's-eye view images that were aligned to detect the presence of the three-dimensional object within the detection area; the computer being programmed to set, as a reference image area, an image area that is different from the detection area and in which extraction of contour information of a subject is predicted; the computer being programmed to extract contour information of a subject in the reference image area and the detection area; the computer being programmed to calculate an amount of brightness of an image in the reference image area as a reference sharpness, based on the contour information extracted in the reference image area; and the computer being programmed to calculate an amount of brightness of an image in the detection area as a subject sharpness, based on the contour information extracted in the detection area, the computer calculating a final sharpness based on the reference sharpness and the subject sharpness, and setting the difference threshold value based on the final sharpness that was calculated. |
8036491 | 11492135 | 1 | 1. An image processing apparatus, comprising: a calculating section which calculates a gradient covariance matrix for each of a plurality of points in an image based on neighboring pixel values around the point, and which calculates multiple eigenvalues for each of the gradient covariance matrices; a full feature point detection section for detecting, and identifying as a full feature point, a point whose gradient covariance matrix has a minimum eigenvalue that is more than a certain amount; a semi feature point detection section for detecting, and identifying as a semi feature point, a point whose gradient covariance matrix has a largest maximum eigenvalue among points whose gradient covariance matrices have a ratio of a maximum eigenvalue to a minimum eigenvalue that is more than a predetermined amount; a first tracking section for tracking the identified full feature point between a first image and a second image; a second tracking section for tracking the identified semi feature point; and an alignment section for aligning the first and second images based on a tracking result of the first tracking section and the second tracking section. |
20160314306 | 15131946 | 0 | 1. An image tagging device comprising: a first functional unit that generates a first image by changing a first region image corresponding to a first object related to privacy information in a master image stored in a first memory and thereby removing the privacy information included in the master image; a second functional unit that acquires the first image generated by the first functional unit and generates an operation request image by changing a second region image corresponding to a second object that is not to be tagged in the first image; an operation request image distributer that distributes the generated operation request image to a tagging operation terminal device over a network; an image tag information receiving unit that receives image tag information, as a response to the distributed operation request image, from the tagging operation terminal device over the network; and a tagged image generator that generates a tagged image on the basis of the master image and the image tag information. |
9292990 | 14720951 | 1 | 1. A method for authenticating a feature of a document, the method comprising: providing a document authentication system comprising: at least one electromagnetic radiation emitter for selectively illuminating the document with at least two frequencies of electromagnetic ration, at least one image sensor for capturing images of the document when subjected to electromagnetic radiation from the at least one electromagnetic radiation emitter, and a computing device for controlling the at least one electromagnetic radiation emitter and the at least one image sensor, wherein the computing device includes a document authentication application having a image capturing module, a training module, an image analysis module, and a comparison module; subjecting a region of the document to different first and second wavelengths of electromagnetic radiation emitted from the at least one electromagnetic radiation emitter and capturing with the at least one image sensor a first image and a second image of the region of the document corresponding to the first and second wavelengths of electromagnetic radiation, respectively, the region comprising at least a portion of the document; determining a first intensity value associated with the first image of the region and determining a second intensity value associated with the second image of the region; using the comparison module to compare the first intensity value with a first training intensity value of a region of a training document, the first training intensity value obtained using the first wavelength of electromagnetic radiation, and comparing the second intensity value with a second training intensity value of the region of the training document, the second training intensity value obtained using the second wavelength of electromagnetic radiation; and determining whether the document is authentic at least partially based on the comparison between the first intensity value and the first training intensity value and using the comparison between the second intensity value and the second training intensity value. |
9886701 | 14099825 | 1 | 1. A computer-implemented method, comprising: based on an attempt by an online endorser to generate an endorsement at a target, receiving a request for a token; in response to the request, generating the token, and providing the target with an encrypted version of the token; receiving the encrypted version of the token and an endorsement action from the target; generating an endorsement log comprising an endorser identifier, a target identifier, endorsement data, and the token indicative of the endorsement event, wherein the generating the endorsement log comprises: receiving the request for the token from the endorser identifier; generating, encoding and encrypting a signal, including the token, in response to the request; transmitting the signal and an endorsement object to the endorser identifier; and in response to an endorsement action by the endorsement identifier that occurs after the attempt, providing an indication of endorsement and passing the endorsement action and the token from the endorser identifier to the server; analyzing the endorsement log with respect to a user aggregator and a target aggregator, to generate an online endorsement abuse candidate associated with endorsement abuse, wherein the endorsement abuse comprises an endorsement that identifies an online user as a source of the endorsement, without authorization by the online user; generating an endorsement overlap graph for the online endorsement abuse candidate based on the endorsement log, the user aggregator and the target aggregator, wherein nodes of the endorsement overlap graph represent ones of the online endorsement abuse candidate, and edges represent a number of shared endorsements; and determining whether the endorsement event is authorized based an analysis of the endorsement overlap graph and an orthogonal signal at least one of transmitted and received by the ones of the online endorsement abuse candidate. |
20020009145 | 09740511 | 0 | 1. An image processing circuit, comprising: a processor operable to, receive an encoded portion of a first version of an image, the first version having a resolution; and convert the encoded portion directly into a decoded portion of a second version of the image, the second version having a resolution that is different than the resolution of the first version. |
9209004 | 13670396 | 1 | 1. A mass spectrometry data processing method for identifying a substance contained in each of a plurality of fractionated samples obtained by separating various substances contained in a sample according to a predetermined separation parameter and fractionating the sample, based on MS n spectra obtained by MS n analyses (where n is an integer equal to or greater than two) respectively performed for the plurality of fractionated samples, comprising: a) an identification probability estimation model creation step, in which: (a1) order information for determining an order of MS n-1 peaks found by MS n-1 analyses for a plurality of fractionated samples obtained by separating and fractionating a preparatory sample is derived from information on the MS n-1 peaks and a result of substance identification, which includes successful and unsuccessful identification of a substance in each of the plurality of fractionated samples when substances contained in each of the plurality of fractionated samples are attempted to be identified based on results of MS n analyses which respectively use the MS n-1 peaks as a precursor ion, (a2) an identification probability estimation model is created on a basis of a relationship between a cumulative number of MS n peaks and a number of successful identifications that specify a substance with sufficient accuracy determined through a series of MS n analyses and identifications in which a plurality of MS n-1 peaks originating from a same kind of sample are sequentially selected as a precursor ion according to the aforementioned order, and (a3) the aforementioned order information, and identification probability estimation model information representing the aforementioned identification probability estimation model, are memorized; b) a peak order calculation step, in which, for MS n-1 peaks found by an MS n-1 analysis of at least one fractionated sample obtained from a sample to be identified, the order of the MS n-1 peaks is calculated by using the order information; and c) an identification probability estimation step, in which an estimated value of the identification probability of each of the MS n-1 peak is calculated from the order of the MS n-1 peaks calculated in the peak order calculation step, with reference to the identification probability estimation model derived from the identification probability estimation model information, wherein the estimated value of the identification probability for an MS n analysis and identification using, as a precursor ion, an MS n-1 peak corresponding to a fractionated sample obtained from the sample to be identified is obtained before the MS n analysis is performed. |
20120293624 | 13111843 | 0 | 1. A system of revising depth of a three-dimensional (3D) image pair, comprising: a depth generator configured to generate at least one initial depth map associated with one image of the 3D image pair based on stereo matching technique, wherein the one image comprises a plurality of pixels, and the initial depth map carries an initial depth value of each pixel; and a depth revisor, comprising: an inconsistence detection unit configured to detect the inconsistence among the pixels based on two-directional occlusion detection technique and estimate a reliable map according to the detected inconsistence; and an interpolation unit configured to interpolate the initial depth value according to the reliable map and the proximate pixels, so as to generate a revised depth map by revising the initial depth value. |
8698797 | 12950480 | 1 | 1. A method for generating multi-views three-dimensional (3D) stereoscopic image, wherein a multi-views 3D stereoscopic image for being displayed in a 3D stereo display is formed by using a source two-dimensional (2D) image and a corresponding depth map having a depth values, the method comprising: obtaining displaying positions of target image elements of each view image of the multi-views 3D stereoscopic image in the 3D stereo display; searching source positions of source image elements from the source 2D image and the depth map based on the displaying positions; and setting the target image elements at the displaying positions as the source image elements at the source positions, wherein started from positions of the first source image elements in the source 2D image and the corresponding depth map, relative displacements of the source image elements in the same row of the displaying positions are searched through a depth-displacement conversion equation, it is further calculated to which displaying position of the corresponding view image the source image element is going to be disposed, and until finding that a displaying position of a certain source image element is consistent with the displaying position, the target image element at the displaying position is set as the found source image element at the source position. |
7903990 | 12144824 | 1 | 1. An image forming apparatus comprising: a rotatable image bearing member; a charging device which charges the image bearing member; an electrostatic image forming device which forms an electrostatic image by exposing the image bearing member after having the image bearing member charged by the charging device; a development device which includes a developer bearing member to develop the electrostatic image in a form of a toner image, the developer bearing member bearing a developer containing toner and a magnetic carrier; and a controller which performs a mode in which a potential difference between a first non-image part on the image bearing member and the developer bearing member is smaller than a potential difference between a second non-image part on the image bearing member and the developer bearing member, the first non-image part being adjacent to an electrostatic image having a specific pattern on an upstream side in a rotating direction of the image bearing member. |
20170098302 | 15314977 | 0 | 1. A system for determining an effective cross-sectional area of a tubular cardiovascular structure to enable assessment of blood flow through the tubular, cardiovascular structure, the system comprising: an image interface for obtaining a three-dimensional image of the tubular cardiovascular structure; a segmentation subsystem for segmenting the three-dimensional image to obtain a segmentation of a lumen inside the tubular cardiovascular structure; an analysis subsystem configured for i) determining a centerline of the tubular cardiovascular structure, the centerline representing an assumed direction of blood flow through the lumen, ii) using the segmentation of the lumen, determining an apparent flow aperture of the tubular cardiovascular structure in a direction of the centerline; and iii) determining the effective cross-sectional area of the tubular cardiovascular structure based on the apparent flow aperture; wherein the segmentation subsystem is configured for obtaining the segmentation of the lumen of the tubular cardiovascular structure by applying a deformable model to the three-dimensional image, the deformable model comprising a representation of the lumen of the type of tubular cardiovascular structure, said applying comprising fitting the deformable model to image data of the three-dimensional image to obtain a fitted model representing the segmentation of the lumen; wherein the deformable model represents a plurality of anatomical landmarks, and wherein the analysis subsystem is configured for determining the centerline of the tubular cardiovascular structure based on positions of the plurality of the anatomical landmarks in the fitted model. |
8280136 | 12067093 | 1 | 1. A method of detecting intraventricular dyssynchrony for a ventricle of a beating heart, the method including: a) receiving initialization information from an observer viewing a first source image of a sequence of source images of a ventricle of a beating heart over at least one complete cardiac cycle to define a single vector constructed by concatenating Fourier shape descriptors extracted from a plurality of points associated with muscle boundaries of the ventricle over time; b) extracting muscle boundaries for each source image of the sequence of source images to define a corresponding spatio-temporal characterization of a complete source image sequence with contour shapes corresponding to the muscle boundaries using a Fourier descriptor model; and c) deforming the single vector of Fourier shape descriptors representing each contour shape in the complete source image sequence based at least in part on image forces, external forces, and internal forces to track movement of the muscle boundaries for the ventricle over time in the complete source image sequence. |
20050243054 | 10835483 | 0 | 1. A pointing method for selecting a target object from a plurality of objects, comprising: displaying the plurality of objects on a display; tracking a position of a natural look of a user while viewing the display; concurrently monitoring a press of a manual selection key; selecting the target object on the display based on a coincidence of the press of the manual selection key and a sensed user's natural look to a region proximate to the target object; if needed, changing a selected object using a navigation key; and activating the selected target object with an activation key. |
20170091579 | 15274407 | 0 | 1. A method of identifying objects using image recognition, comprising: scanning, by an optical reader, a machine-readable identifier associated with an original object; capturing an image of the original object at a first orientation using an image capture device; transmitting the machine-readable identifier and the image of the original object to an image database to store an association between the image of the original object and the machine-readable identifier; receiving a subsequent object having a subsequent machine-readable identifier that is unavailable or incapable of being scanned; capturing an image of the subsequent object with the image capture device; and identifying the subsequent object in response to execution of an image recognition function that receives as input the image of the subsequent object, compares the image of the subsequent object to other images in the image database to identify similar images, the similar images including at least the image of the original object, and that outputs object identification information for the image of the subsequent object based on the machine-readable identifier associated with the image of the original object, the object identification information identifying the subsequent object relative to the other images in the image database. |
20020147568 | 09877314 | 0 | 1. A method for scanning for an object within a region, comprising: scanning the region using a conformal scanning scheme; determining one or more characteristics of the object in response to said scanning; and generating output indicating the one or more characteristics of the object. |
20160180249 | 14860809 | 0 | 1. A method to provide selective supporting evidence, comprising: applying a first machine learning (ML) model to a first candidate answer to generate a first confidence score that does not consider supporting evidence for the first candidate answer; determining, from a second ML model, an expected contribution of processing supporting evidence for the first candidate answer; and upon determining that the expected contribution does not exceed a specified threshold, skipping supporting evidence processing for the first candidate answer. |
9390346 | 14735252 | 1 | 1. A method for computerized object location comprising: obtaining, at a mobile device, information about a missing object, wherein the information about the missing object includes one or more of a reference image of an object similar to the missing object and one or more features of the missing object; obtaining, at the mobile device, information about a background surface, wherein the information about the background surface includes one or more of a reference image of the background surface and a type of background; detecting, using a motion sensor in the mobile device, movement of the mobile device; acquiring, using one or more image sensors coupled to a processor in the mobile device, one or more images; processing the one or more images to detect any candidate objects having a similarity within a given threshold to the missing object; when a candidate object is detected, providing an alert via the mobile device that a candidate object has been detected; receiving, via the mobile device, an indication of whether the candidate object is an image of the missing object; when the indication is that the candidate object is an image of the missing object, stopping the acquiring and processing; and when the indication is that the candidate object is not an image of the missing object, continuing the acquiring and processing. |
20090087914 | 12248444 | 0 | 1. A quality control method for an analysis supporting liquid in an automatic analyzing apparatus which includes, to perform an analysis on a specimen, a specimen dispensing unit which dispenses the specimen by using, as a pressure transmitting medium, an analysis supporting liquid including purified water and serving to support the analysis on the specimen, a reagent dispensing unit which dispenses a reagent by using the analysis supporting liquid as the pressure transmitting medium, a cleaning unit which cleans, by using the analysis supporting liquid as a cleaning liquid, a reaction vessel in which the specimen and the reagent are mixed and made react to each other, and a diluted solution dispensing unit which dispenses a diluted solution including the analysis supporting liquid, and which controls a quality of the analysis supporting liquid, the quality control method comprising: dispensing the analysis supporting liquid into the reaction vessel by one of the specimen dispensing unit, the reagent dispensing unit, the cleaning unit, and the diluted solution dispensing unit; performing an optical measurement with respect to a liquid, including the analysis supporting liquid dispensed in the dispensing, in the reaction vessel; generating analysis data of the analysis supporting liquid by using a result measured in the performing the optical measurement; and determining the quality of the analysis supporting liquid by comparing the analysis data generated in the data generating with reference data. |
20180060277 | 15253903 | 0 | 1. A method executed by a computer system to construct an image by generating a final approximation function f that approximates a scattered data set V, the method comprising: setting, by the computer system, a hierarchy of control lattices R 0 , R 1 ,. .. , R h , wherein R 0 is a coarsest control lattice and R h is a densest control lattice defined by a user, R k is a control lattice at level k of the hierarchy of control lattices, a spacing between control points in the control lattices is smaller from one lattice to the next; executing, by the computer system, Many-Knot (MK) Splines approximation to V with the coarsest control lattice R 0 to obtain approximation function f 0 that is a most smooth approximation function of V; calculating, by the computer system, a first deviation Δ 1 z c of f 0 for each point in V to generate a deviation data set V 1 ; performing, by the computer system, iteration steps for the control lattices from R 1 to R h to generate a sequence of approximation functions from f 1 to f h , the iteration steps comprising: for the level k of the hierarchy of control lattices, summing, by the computer system, f 0 to f k−1 to yield a smaller deviation Δ k z c for each point in V to generate a deviation data set V k ; executing, by the computer system, the Many-Knot (MK) Splines approximation with the control lattice R k to the deviation data set V k to obtain approximation function f k ; generating, by the computer system, the final approximation function f by summing f 0 to f h to construct an interpolated surface; and constructing, by the computer system, the image from the interpolated surface. |
8682811 | 12650285 | 1 | 1. A method of building an index of web pages, the method comprising: accessing a set of URLs collected by crawling the Internet; accessing a list of URLs collected from one or more sources that collect clicks of URLs by users; for each URL in the set of URLs, for a given URL: computing a measure of likelihood that the given URL will be searched by a user in the future based on whether the URL has been clicked by a user, storing the given URL and its measure, selecting a subset of the URLs based on their respective stored measures, where some of the URLs in the set of URLs are omitted from the subset based on the measures of the omitted URLs; generating a first index of the web pages pointed to by the URLs in the subset of URLs, the first index not including the omitted URLs, the first index comprising a mapping between contents of the web pages and the URLs of the web pages, and generating a second index of the web pages pointed to by the URLs omitted from the subset, the second index not including the URLs in the first index; and using the index by a search engine to search for search results for arbitrary search queries submitted by users, wherein when the first index does not satisfy a given query, using the second index to attempt to satisfy the given query. |
5424783 | 08015868 | 1 | 1. A method of filtering an image to remove minor parts thereof without degrading major image identifying edges, comprising the steps of: determining the value of at least one visible characteristic for each pixel of the image; ascertaining the same characteristic values of neighboring pixels for each pixel, the spatial extent of neighboring pixels for each pixel being governed by a single scale parameter; calculating a solution of a nonlinear equation based upon weighted average pixel characteristic values from neighboring image pixels for each given pixel; and reconstructing an image representation displaying the calculated solution of neighboring nonlinearly weighted average characteristic values in place of each original pixel. |
8199244 | 12791171 | 1 | 1. A system comprising: a light modulating device configured to modulate an incident stream of light by a series of spatial patterns to produce a modulated light stream, wherein the light modulating device includes a plurality light modulating elements; a light sensing device having one or more light sensing elements, wherein the one or more light sensing elements are fewer in number than the plurality of the light modulating elements; an optical subsystem configured to direct the modulated light stream onto the light sensing elements, wherein the light sensing device is configured to obtain measurements of intensity of the modulated light stream over time, wherein each of the measurements represents an inner product between a corresponding time portion of the incident light stream and a corresponding one of the spatial patterns, wherein the measurements comprise an encoded representation of an image or video sequence; wherein for an image or video sequence that is approximately K-sparse, the number of the measurements is O(K*log 2 (1+N/K)) or less. |
9554114 | 13233673 | 1 | 1. A system for generating a three dimensional image, the system comprising: a processor configured to access a stereo image, wherein the processor is configured to generate a disparity map from the stereo image, adjust the disparity map to compress a number of depth values within the disparity map to generate an adjusted disparity map by shifting a plurality of disparity values of the disparity map towards a pivot of the disparity map by subtracting a compression value from a first set of the plurality of disparity values that are at a distance greater than or equal to the compression value and by shifting a second set of the plurality of disparity values to the pivot where the second set of the disparity values are at a distance less than the compression value, wherein the pivot is a viewing screen depth and the compression value is an amount of depth by which the first set of the plurality of disparity values are to be shifted, and render a stereo view of the image based on the adjusted disparity map. |
20150003702 | 14368068 | 0 | 1. A system for processing a breast image, comprising a glandular tissue contour detector for detecting a contour of a glandular tissue represented in the breast image, the grandular tissue contour detector comprising: a concave hull determiner for determining a concave hull of a region in the breast image comprising the mammary glands of a breast so as to obtain the contour. |
20120118970 | 12944356 | 0 | 1. A method for providing barcode scanning for a target barcode comprising: receiving color image values for a captured image of the target barcode from at least one color image sensor; extracting luminosity values for each pixel of the captured image from the color image values to define greyscale image values corresponding to the color image values; and providing the luminosity values defining greyscale image values to a greyscale barcode decoder for subsequent processing thereof. |
20070208754 | 11674982 | 0 | 1. A processing device comprising: an input unit configured to input a first processing-descriptive document; and a processing unit configured to perform processing procedures written in the first processing-descriptive document, wherein the processing unit generates a second processing-descriptive document by deleting at least one description part illustrating processing performed, so as to call a next processing device, from the first processing-descriptive document, and call the next processing device by using the second processing-descriptive document. |
9092666 | 13733333 | 1 | 1. A method of estimating an organ deformation model, the method comprising: generating at least one 3D organ shape model of an organ of a subject based on at least one non-real time medical image representing a deformation state of the organ of the subject; generating a deformation space for the organ of the subject based on the at least one 3D organ shape model and prior knowledge regarding the organ; and estimating a 3D organ deformation model of the organ of the subject based on a real-time medical image of the organ of the subject and the deformation space. |
6111981 | 09130522 | 1 | 1. A method for processing an image in order to recognize a pattern of a scanning electron microscope (SEM) including a repetitive pattern, comprising: a step of inputting multi-value image data such as contact holes which are made through a semiconductor substrate into an image processing apparatus; a step of performing a spatial filtering with respect to said multi-valued image data of the contact holes to output a spatial filtering image for each of said contact holes; a step of performing a histogram processing with respect to said spatial filtered image to output histogram data; a step of automatically setting a slice level with respect to said histogram data; a step of performing a three-valued processing with respect to said spatial filtered image on the basis of said slice level to output a three-valued processed image; a step of alternatively performing a contraction and expansion with respect to said three-valued processed image; a step of performing a labeling with respect to said image data; and a step of detecting an entire area of a pattern of contact holes having an area which most closely approximates an area of a reference image which has been previously stored, after obtaining said area of said repetitive pattern. |
8913844 | 13489073 | 1 | 1. A computer program embodied on a non-transitory computer-readable storage medium, the computer program configured to cause a processor to: extract reference pixel fast-varying components (IMFs) using Hilbert-Huang Transform Real-Time Data Processing (HHT1); derive a noise correction array based on a boundary condition equal to a first plurality of IMFs plus an absolute value of respective minimums of the IMFs, using an embedded squares method heat propagation model; and subtract the noise correction array from an active pixels array to yield active corrected pixels. |
20090002475 | 11769002 | 0 | 1. An apparatus for improving image quality in video telephony comprising: an image detection unit, wherein the image detection unit comprises a near infrared light source for illuminating an object, such that the object is front illuminated thereby producing reflected near infrared radiation, an image sensor for generating first image data responsive to the reflected near infrared radiation, and an infrared filter for filtering the reflected near infrared radiation while allowing reflected visible light from the object so as to facilitate the image sensor further generating second image data responsive to the reflected visible light when the infrared filter is active; an image alignment unit coupled to the image sensor of the image detection unit for aligning a near infrared image from the first image data with a visible image from the second image data in order to form an aligned image pair; and an image fusion unit for forming a composite image of the object from the aligned image pair. |
20120197600 | 13017969 | 0 | 1. A process comprising: receiving into a computer processor a model of an area; receiving into the computer processor a position in the model that represents a placement of a virtual sensor; receiving into the computer processor an orientation of the virtual sensor; generating with the computer processor a shadow map of the area as a function of the position and orientation of the virtual sensor; using the shadow map to determine one or more portions of the area that can be sensed by the virtual sensor; determining with the computer processor the area of the model that is covered as a function of the position and orientation of the virtual sensor; and transmitting to an output device information relating to the area of the model that is covered as a function of the position and orientation of the virtual sensor. |
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