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Shape Matching and Object Recognition Using Shape Contexts

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367
aero autoPerson was signed in when posted
04-19-2015
03:48 PM ET (US)
Actually i dont have any idea about shape matching.So i did not understand it.IF you are able to explain the main issue shape matching that will be good for us.----------Auto transport Dallas, Texas
366
Steel
04-05-2015
09:43 AM ET (US)
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03-24-2015
01:01 PM ET (US)
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03-13-2015
10:24 AM ET (US)
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363
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03-05-2015
06:37 AM ET (US)
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01-23-2015
01:47 AM ET (US)
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12-20-2014
11:08 AM ET (US)
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hadloven
12-16-2014
08:18 PM ET (US)
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. 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 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. The key idea is that the distribution over relative positions is a robust, compact, and highly discriminative descriptor. So, for the point pi, the coarse histogram of the relative coordinates of the remaining n − 1 points,
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12-03-2014
05:38 PM ET (US)
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11-19-2014
02:27 PM ET (US)
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11-11-2014
11:50 PM ET (US)
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11-10-2014
01:54 PM ET (US)
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11-08-2014
08:21 AM ET (US)
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11-07-2014
03:17 PM ET (US)
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11-07-2014
03:15 PM ET (US)
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11-06-2014
04:12 PM ET (US)
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