Transcription of Scale Invariant Feature Transform (SIFT)
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Scale Invariant Feature Transform (SIFT)
Scale Invariant Feature Transform (SIFT)CS 763 AjitRajwadeWhat is SIFT? It is a technique for detectingsalient, stable Feature points in an image. For every such point, it also provides a set of features that characterize/describe a small image region around the point. These features are Invariant to rotation and for SIFT Image matchingoEstimation of affine transformation/homographybetween imagesoEstimation of fundamental matrix in stereo Structure from motion, tracking, motion segmentationMotivation for SIFT All these applications need to (1) detect salient, stable points in two or more images, and (2) determine correspondences between them.
The first image has scale σ 0, the second image has scale kσ 0, the third image has scale k2σ 0, and the last image has scale ksσ 0. Such a sequence of images convolved with Gaussians of increasing σconstitute a so-called scale space. Down-sampling
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