SHREC 2011: robust feature detection and description benchmark

Abstract : Feature-based approaches have recently become very popular in computer vision and image analysis applications, and are becoming a promising direction in shape retrieval. SHREC'11 robust feature detection and description benchmark simulates the feature detection and description stages of feature-based shape retrieval algorithms. The benchmark tests the performance of shape feature detectors and descriptors under a wide variety of transformations. The benchmark allows evaluating how algorithms cope with certain classes of transformations and strength of the transformations that can be dealt with. The present paper is a report of the SHREC'11 robust feature detection and description benchmark results.
Type de document :
Communication dans un congrès
3DOR2011 - Eurographics Workshop on 3D Object Retrieval, Apr 2011, Llandudno, United Kingdom. pp.71-78, 2011, 〈10.2312/3DOR/3DOR11/071-078〉
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https://hal.inria.fr/hal-00752990
Contributeur : Radu Horaud <>
Soumis le : vendredi 16 novembre 2012 - 17:45:14
Dernière modification le : mercredi 27 juillet 2016 - 14:48:48

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Edmond Boyer, Alexander M. Bronstein, Michael M. Bronstein, Benjamin Bustos, Tal Darom, et al.. SHREC 2011: robust feature detection and description benchmark. 3DOR2011 - Eurographics Workshop on 3D Object Retrieval, Apr 2011, Llandudno, United Kingdom. pp.71-78, 2011, 〈10.2312/3DOR/3DOR11/071-078〉. 〈hal-00752990〉

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