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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.
Applications, Details of implementation & Theory
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shape points context matching point displaystyle two contexts cost shapes transformation distance database used object one tps obtained set authors
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Shape context | is a | feature descriptor used in object recognition | 0.90 | text |
| Shape context | is a | rich and discriminative descriptor can be seen in the figure below | 0.90 | text |
| maxima of curvature or inflection points | instance of | Note that these points need not and in general do not correspond to key-points | 0.80 | text |
| Shape context | related to 3D object recognition | The | 0.60 | section |
| Shape context | related to 3D object recognition | Columbia Object Image Library | 0.60 | section |
| Shape context | related to 3D object recognition | COIL-20 | 0.60 | section |
| Shape context | related to 3D object recognition | Each | 0.60 | section |
| Shape context | related to 3D object recognition | In | 0.60 | section |
| Shape context | related to 3D object recognition | NN | 0.60 | section |
| Shape context | related to External links | Matching | 0.60 | section |
| Shape context | related to External links | Shape ContextsMNIST | 0.60 | section |
| Shape context | related to External links | Object Image Library | 0.60 | section |
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