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...

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Publié dans:	IEEE transactions on pattern analysis and machine intelligence. - 1979. - 31(2009), 3 vom: 27. März, Seite 570-6
Auteur principal:	Shahrokni, Ali (Auteur)
Autres auteurs:	Drummond, Tom, Fleuret, François, Fua, Pascal
Format:	Article en ligne
Langue:	English
Publié:	2009
Accès à la collection:	IEEE transactions on pattern analysis and machine intelligence
Sujets:	Journal Article