SHREC 2011: robust feature detection and description benchmark, Workshop on 3D Object Retrieval (3DOR)

E Boyer, A.M Bronstein, M.M Bronstein, B Bustos, T Darom, R Horaud, I Hotz, Y Keller, J Keustermans, A Kovnatsky, R Litman

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

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 languageAmerican English
Title of host publicationEurographics
StatePublished - 2011

Bibliographical note

Place of conference:UK

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