SHREC'10 Track: Feature Detection and Description

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dc.contributor.authorBronstein, A. M.en_US
dc.contributor.authorBronstein, M. M.en_US
dc.contributor.authorBustos, B.en_US
dc.contributor.authorCastellani, U.en_US
dc.contributor.authorCrisani, M.en_US
dc.contributor.authorFalcidieno, B.en_US
dc.contributor.authorGuibas, L. J.en_US
dc.contributor.authorKokkinos, I.en_US
dc.contributor.authorMurino, V.en_US
dc.contributor.authorOvsjanikov, M.en_US
dc.contributor.authorPatané, G.en_US
dc.contributor.authorSipiran, I.en_US
dc.contributor.authorSpagnuolo, M.en_US
dc.contributor.authorSun, J.en_US
dc.contributor.editorMohamed Daoudi and Tobias Schrecken_US
dc.date.accessioned2013-10-21T16:10:03Z
dc.date.available2013-10-21T16:10:03Z
dc.date.issued2010en_US
dc.description.abstractFeature-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.en_US
dc.description.seriesinformationEurographics Workshop on 3D Object Retrievalen_US
dc.identifier.isbn978-3-905674-22-4en_US
dc.identifier.issn1997-0471en_US
dc.identifier.urihttps://doi.org/10.2312/3DOR/3DOR10/079-086en_US
dc.publisherThe Eurographics Associationen_US
dc.titleSHREC'10 Track: Feature Detection and Descriptionen_US
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