Sparse representation for coarse and fine object recognition
This paper offers a sparse, multiscale representation of objects. It captures the object appearance by selection from a very large dictionary of Gaussian differential basis functions. The learning procedure results from the matching pursuit algorithm, while the recognition is based on polynomial app...
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 28(2006), 4 vom: 11. Apr., Seite 555-67 |
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Format: | Aufsatz |
Sprache: | English |
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2006
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
Schlagworte: | Evaluation Study Journal Article Research Support, Non-U.S. Gov't |