SHREC 2011: Robust feature detection and description benchmark

E. Boyer, A. M. Bronstein, M. M. Bronstein, B. Bustos, T. Darom, R. Horaud, I. Hotz, Y. Keller, J. Keustermans, A. Kovnatsky, R. Litman, J. Reininghaus, I. Sipiran, D. Smeets, P. Suetens, D. Vandermeulen, A. Zaharescu, V. Zobel

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

85 Scopus citations

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.

Original languageEnglish
Title of host publicationEurographics Workshop on 3D Object Retrieval, 3DOR 2011 - co-event of Eurographics 2011
EditorsTobias Schreck, Alfredo Ferreira, Afzal Godil, Hamid Laga, Remco Veltkamp, Ioannis Pratikakis
PublisherEurographics Association
Pages71-78
Number of pages8
ISBN (Electronic)9783905674316
DOIs
StatePublished - 2011
Externally publishedYes
Event4th Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - Llandudno, United Kingdom
Duration: 10 Apr 2011 → …

Publication series

NameEurographics Workshop on 3D Object Retrieval, EG 3DOR
ISSN (Print)1997-0463
ISSN (Electronic)1997-0471

Conference

Conference4th Eurographics Workshop on 3D Object Retrieval, 3DOR 2011
Country/TerritoryUnited Kingdom
CityLlandudno
Period10/04/11 → …

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