space implementation Simultaneous localization and mapping Structure from motion References External links Related studies: The Invariant Relations of 3D to 2D Projection of Point Sets, Journal of Pattern Recognition Research(JPRR), Vol. 3, No 1, 2008. Lowe, D. G., “Distinctive Image Features from Scale-Invariant Keypoints”, International Journal of Computer Vision, 60, 2, pp. 91-110, 2004. Mikolajczyk, K., and Schmid, C., "A performance evaluation of local descriptors", IEEE Transactions on Pattern Analysis and Machine Intelligence, 10, 27, pp 1615--1630, 2005. Lazebnik, S., Schmid, C., and Ponce, J., Semi-Local Affine Parts for Object Recognition, BMVC, 2004. Tutorials: Scale-Invariant Feature Transform (SIFT) in Scholarpedia A simple step by step guide to SIFT "The Anatomy of the SIFT Method" in Image Processing On Line, a detailed study of every step of the algorithm with an open source implementation and a web demo to try different parameters Implementations: Rob Hess's implementation of SIFT accessed 21 Nov 2012 ASIFT (Affine SIFT): large viewpoint matching with SIFT, with source code and online demonstration VLFeat, an open source computer vision library in C (with a MEX interface to MATLAB), including an implementation of SIFT LIP-VIREO, A toolkit for keypoint feature extraction (binaries for Windows, Linux and SunOS), including an implementation of SIFT (Parallel) SIFT in C#, SIFT algorithm in C# using Emgu CV and also a modified parallel version of the algorithm. DoH & LoG + affine, Blob detector adapted from a SIFT toolbox ezSIFT: an easy-to-use standalone SIFT implementation in C/C++. A self-contained open-source SIFT implementation which does not require other libraries. A 3D SIFT implementation: detection and matching in volumetric images. Feature detection (computer vision) Object recognition and categorization