Shape context - Wikipedia
Shape context is a feature descriptor used in object recognition. Serge Belongie and Jitendra Malik proposed the term in their paper "Matching with Shape Contexts" in 2000.[1] The shape context is intended to be a way of describing shapes that allows for measuring shape similarity and the recovering of point correspondences.[1] The basic idea is to pick n points on the contours of a shape. For eac
Matching with Shape Contexts
Matching with Shape Contexts Serge Belongie, Jitendra Malik and Jan Puzicha The "shape context" is a new descriptor we have developed for finding correspondences between pointsets. It is described in the following publications: Shape Matching and Object Recognition Using Shape Contexts (PAMI April 2002) Matching Shapes (ICCV 2001) Shape Context: A new descriptor for shape matching and object recog
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