Shape context

Known as: ShapeContext 
Shape context is a feature descriptor used in object recognition. Serge Belongie and Jitendra Malik proposed the term in their paper "Matching with… (More)
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Papers overview

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Highly Cited
2012
Highly Cited
2012
In this work, we present intrinsic shape context (ISC) descriptors for 3D shapes. We generalize to surfaces the polar sampling of… (More)
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Highly Cited
2010
Highly Cited
2010
The use of robust feature descriptors is now key for many 3D tasks such as 3D object recognition and surface alignment. Many… (More)
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Highly Cited
2010
Highly Cited
2010
This paper presents work on vision based robotic grasping. The proposed method adopts a learning framework where prototypical… (More)
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Highly Cited
2006
Highly Cited
2006
The problem we consider in this paper is to take a single two-dimensional image containing a human figure, locate the joint… (More)
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Highly Cited
2005
Highly Cited
2005
We demonstrate that shape contexts can be used to quickly prune a search for similar shapes. We present two algorithms for rapid… (More)
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Highly Cited
2003
Highly Cited
2003
This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the… (More)
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Highly Cited
2002
Highly Cited
2002
This paper presents my work on computing shape models that are computationally fast and invariant basic transformations like… (More)
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Highly Cited
2002
Highly Cited
2002
The problem we consider in this paper is to take a single two-dimensional image containing a human body, locate the joint… (More)
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Highly Cited
2000
Highly Cited
2000
We develop an approach to object recognition based on matching shapes and using a resulting measure of similarity in a nearest… (More)
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Highly Cited
2000
Highly Cited
2000
We introduce a new shape descriptor, the shape context , for measuring shape similarity and recovering point correspondences. The… (More)
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