SHREC '11: Robust Feature Detection and Description Benchmark
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Date
2011
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
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
Description
@inproceedings{10.2312:3DOR/3DOR11/071-078,
booktitle = {Eurographics Workshop on 3D Object Retrieval},
editor = {H. Laga and T. Schreck and A. Ferreira and A. Godil and I. Pratikakis and R. Veltkamp},
title = {{SHREC '11: Robust Feature Detection and Description Benchmark}},
author = {Boyer, E. and Bronstein, A. M. and Litmany, R. and Reininghaus, J. and Sipiran, I. and Smeets, D. and Suetens, P. and Vandermeulen, D. and Zaharescu, A. and Zobel, V. and Bronstein, M. M. and Bustos, B. and Darom, T. and Horaud, R. and Hotz, I. and Keller, Y. and Keustermans, J. and Kovnatsky, A.},
year = {2011},
publisher = {The Eurographics Association},
ISSN = {1997-0463},
ISBN = {978-3-905674-31-6},
DOI = {10.2312/3DOR/3DOR11/071-078}
}