SHREC'10 Track: Feature Detection and Description
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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.
BibTeX
@inproceedings {10.2312:3DOR:3DOR10:079-086,
booktitle = {Eurographics Workshop on 3D Object Retrieval},
editor = {Mohamed Daoudi and Tobias Schreck},
title = {{SHREC'10 Track: Feature Detection and Description}},
author = {Bronstein, A. M. and Bronstein, M. M. and Bustos, B. and Castellani, U. and Crisani, M. and Falcidieno, B. and Guibas, L. J. and Kokkinos, I. and Murino, V. and Ovsjanikov, M. and Patané, G. and Sipiran, I. and Spagnuolo, M. and Sun, J.},
year = {2010},
publisher = {The Eurographics Association},
ISSN = {1997-0471},
ISBN = {978-3-905674-22-4},
DOI = {10.2312/3DOR/3DOR10/079-086}
}
booktitle = {Eurographics Workshop on 3D Object Retrieval},
editor = {Mohamed Daoudi and Tobias Schreck},
title = {{SHREC'10 Track: Feature Detection and Description}},
author = {Bronstein, A. M. and Bronstein, M. M. and Bustos, B. and Castellani, U. and Crisani, M. and Falcidieno, B. and Guibas, L. J. and Kokkinos, I. and Murino, V. and Ovsjanikov, M. and Patané, G. and Sipiran, I. and Spagnuolo, M. and Sun, J.},
year = {2010},
publisher = {The Eurographics Association},
ISSN = {1997-0471},
ISBN = {978-3-905674-22-4},
DOI = {10.2312/3DOR/3DOR10/079-086}
}