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A Mean-Shift-Based Feature Descriptor for Wide Baseline Stereo Matching
We propose a novel Mean-Shift-based building approach in wide baseline. Initially, scale-invariance feature transform (SIFT) approach is used to extract relatively stable feature points. As to each matching SIFT feature point, it needs a reasonable neighborhood range so as to choose feature points s...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Limited
2015-01-01
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| Colecção: | Mathematical Problems in Engineering |
| Acesso em linha: | http://dx.doi.org/10.1155/2015/398756 |
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