Title : Shape Matching and Object Recognition Using Shape Contexts
Author : S. Belongie, J. Malik, and J. Puzicha
Summarization:
This paper proposed a shape descriptor : shape context, to describe the coarse distribution of the rest of the shape to a point on the shape. And solve the correspondence problem by computing sum of matching errors between corresponding points to find the nearest neighbor.
In their definition, a shape is a set of edge pixels which are found by edge detector. For computing the distance between two shape, they used the shape context which compute the coarse histogram of n-1 points in the relative coordinates position by the query point, and used this histogram to compute the difference with the other shape to find the best match points-pair with the other shape.
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