OTC: A Novel Local Descriptor for Scene Classification

Ran Margolin, Lihi Zelnik-Manor, and Ayellet Tal

Abstract. Scene classification is the task of determining the scene type in which a photograph was taken. In this paper we present a novel local descriptor suited for such a task: Oriented Texture Curves (OTC). Our descriptor captures the texture of a patch along multiple orientations, while maintaining robustness to illumination changes, geometric distortions and local contrast differences. We show that our descriptor outperforms all state-of-the-art descriptors for scene classification algorithms on the most extensive scene classification benchmark to-date.

Keywords: local descriptor, scene classification, scene recognition

LNCS 8695, p. 377 ff.

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