Boundary Preserving Dense Local Regions
We propose a dense local region detector to extract features suitable for image matching and object recognition tasks. Whereas traditional local interest operators rely on repeatable structures that often cross object boundaries (e.g., corners, scale-space blobs), our sampling strategy is driven by...
| Publié dans: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 37(2015), 5 vom: 01. Mai, Seite 931-43 |
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| Format: | Article en ligne |
| Langue: | English |
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2015
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| Accès à la collection: | IEEE transactions on pattern analysis and machine intelligence |
| Sujets: | Journal Article Research Support, U.S. Gov't, Non-P.H.S. |
| Accès en ligne |
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