@inproceedings{2b508df758844be5bd98de41fd97ff59,
title = "SHREC'10 track: Feature detection and description",
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. 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.",
author = "Bronstein, \{A. M.\} and Bronstein, \{M. M.\} and B. Bustos and U. Castellani and M. Crisani and B. Falcidieno and Guibas, \{L. J.\} and I. Kokkinos and V. Murino and M. Ovsjanikov and G. Patan{\'e} and I. Sipiran and M. Spagnuolo and J. Sun",
year = "2010",
doi = "10.2312/3DOR/3DOR10/079-086",
language = "English",
isbn = "9783905674224",
series = "Eurographics Workshop on 3D Object Retrieval, EG 3DOR",
pages = "79--86",
booktitle = "EG 3DOR 2010 - Eurographics 2010 Workshop on 3D Object Retrieval",
note = "3rd Eurographics Workshop on 3D Object Retrieval, EG 3DOR 2009 ; Conference date: 02-05-2010 Through 02-05-2010",
}