SHREC '11: Robust Feature Detection and Description Benchmark
dc.contributor.author | Boyer, E. | en_US |
dc.contributor.author | Bronstein, A. M. | en_US |
dc.contributor.author | Bronstein, M. M. | en_US |
dc.contributor.author | Bustos, B. | en_US |
dc.contributor.author | Darom, T. | en_US |
dc.contributor.author | Horaud, R. | en_US |
dc.contributor.author | Hotz, I. | en_US |
dc.contributor.author | Keller, Y. | en_US |
dc.contributor.author | Keustermans, J. | en_US |
dc.contributor.author | Kovnatsky, A. | en_US |
dc.contributor.author | Litmany, R. | en_US |
dc.contributor.author | Reininghaus, J. | en_US |
dc.contributor.author | Sipiran, I. | en_US |
dc.contributor.author | Smeets, D. | en_US |
dc.contributor.author | Suetens, P. | en_US |
dc.contributor.author | Vandermeulen, D. | en_US |
dc.contributor.author | Zaharescu, A. | en_US |
dc.contributor.author | Zobel, V. | en_US |
dc.contributor.editor | H. Laga and T. Schreck and A. Ferreira and A. Godil and I. Pratikakis and R. Veltkamp | en_US |
dc.date.accessioned | 2013-04-25T14:10:27Z | |
dc.date.available | 2013-04-25T14:10:27Z | |
dc.date.issued | 2011 | en_US |
dc.description.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 | en_US |
dc.description.sectionheaders | Shape Retrieval Evaluation Contest (SHREC 2011) | en_US |
dc.description.seriesinformation | Eurographics Workshop on 3D Object Retrieval | en_US |
dc.identifier.isbn | 978-3-905674-31-6 | en_US |
dc.identifier.issn | 1997-0463 | en_US |
dc.identifier.uri | https://doi.org/10.2312/3DOR/3DOR11/071-078 | en_US |
dc.publisher | The Eurographics Association | en_US |
dc.subject | Categories and Subject Descriptors (according to ACM CCS): H.3.2 [Information storage and retrieval]: Information Search and Retrieval-Retrieval models I.2.10 [Artificial intelligence]: Vision and Scene Understanding-Shape | en_US |
dc.title | SHREC '11: Robust Feature Detection and Description Benchmark | en_US |
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