Bronstein, A. M.Bronstein, M. M.Bustos, B.Castellani, U.Crisani, M.Falcidieno, B.Guibas, L. J.Kokkinos, I.Murino, V.Ovsjanikov, M.Patané, G.Sipiran, I.Spagnuolo, M.Sun, J.Mohamed Daoudi and Tobias Schreck2013-10-212013-10-212010978-3-905674-22-41997-0471https://doi.org/10.2312/3DOR/3DOR10/079-086Feature-based approaches have recently become very popular in computer vision and image analysis applications, and are becoming a promising direction in shape retrieval. The SHREC'10 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 3D Shape Retrieval Contest 2010 (SHREC'10) feature detection and description benchmark results.