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.
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Conference papers
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https://hal.inria.fr/hal-00752990
Contributor : Radu Horaud <>
Submitted on : Friday, November 16, 2012 - 5:45:14 PM
Last modification on : Thursday, May 3, 2018 - 4:32:01 PM

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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, ACM Siggraph, Apr 2011, Llandudno, United Kingdom. pp.71-78, ⟨10.2312/3DOR/3DOR11/071-078⟩. ⟨hal-00752990⟩

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