Classification-based probabilistic modeling of texture transition for fast line search tracking and delineation
We introduce a classification-based approach to finding occluding texture boundaries. The classifier is composed of a set of weak learners which operate on image intensity discriminative features which are defined on small patches and fast to compute. A database which is designed to simulate digitiz...
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 31(2009), 3 vom: 27. März, Seite 570-6 |
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Format: | Online-Aufsatz |
Sprache: | English |
Veröffentlicht: |
2009
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
Schlagworte: | Journal Article |
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