44. The computer-readable medium as recited in claim 39 , wherein a boosting chain is trained using face images, non-face images, and weak classifiers.
39. A computer-readable medium having computer-implementable instructions for causing at least one processing unit to perform acts comprising: detecting possible human face image data within a digital image using a multiple stage face detection scheme that includes: a boosting filter stage to process a set of initial candidate portions of digital image data to produce a set of intermediate candidate portions using a plurality of boosting chain nodes and a boot strap function following each of the plurality of boosting chain nodes, the boot strap function to adjust a sample weight initialized for a current boosting classifier of a current boosting chain node based on a classification error rate of a previous boosting node; and a post-filtering stage configured to process the set of intermediate candidate portions to produce a set of final candidate portions, wherein the post-filter stage includes an image pre-processing process, a color-filtering process, and a support vector machine (SVM) filtering process, the SVM filtering process to perform wavelet transformation on the set of intermediate candidate portions.