Eurographics 2010 Workshop on 3D Object Retrieval

SHREC'10 Track: Feature Detection and Description

A. M. Bronstein, M. M. Bronstein, B. Bustos, U. Castellani, M. Crisani, B. Falcidieno, L. J. Guibas, I. Kokkinos, V. Murino, M. Ovsjanikov, G. Patané, I. Sipiran, M. Spagnuolo, and J. Sun

DOI: 10.2312/3DOR/3DOR10/079-086

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.

Categories and Subject Descriptors (according to ACM CCS): H.3.2 [Information storage and retrieval]: Information Search and Retrieval—Retrieval models I.2.10 [Artificial intelligence]: Vision and Scene Understanding—Shape

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