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High Quality Content by WIKIPEDIA articles! Shape context is the term given by Serge Belongie and Jitendra Malik to the feature descriptor they first proposed in their paper "Matching with Shape Contexts" in 2000. Shape context can be used in object recognition.The shape context is intended to be a way of describing shapes that allows for measuring shape similarity and the recovering of point correspondences . The basic idea is to pick n points on the contours of a shape. For each point pi on the shape, consider the n 1 vectors obtained by connecting pi to all other points. The set of all these vectors is a rich description of the shape localized at that point but is far too detailed.