Oriented Texture Curves for Scene Classification

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.

Publication:

Ran Margolin, Lihi Zelnik-Manor and Ayellet Tal: “OTC: A Novel Local Descriptor for Scene Classifcation”, ECCV 2014

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