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Title SHREC 2011: Robust Feature Detection and Description Benchmark
Authors Edmond Boyer, Alexander Bronstein, Michael Bronstein, Benjamin Bustos, T. Darom, Radu Horaud, Ingrid Hotz, Y. Keller, Johannes Keustermans, Artiom Kovnatsky, Roee Litman, Jan Reininghaus, Ivan Sipiran (alum), Dirk Smeets, Paul Suetens, Dirk Vandermeulen, Andrei Zaharescu, V. Zobel
Publication date 2011
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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Pages 71-78
Conference name Eurographics Workshop on 3D Object Retrieval
Publisher Eurographics Association
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