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SHREC 2011: Robust Feature Detection and Description Benchmark
Grenoble, France.
Tel Aviv University, Israel.
Università della Svizzera Italiana, Lugano, Switzerland.
University of Chile.
Vise andre og tillknytning
2011 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

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.

sted, utgiver, år, opplag, sider
2011.
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-127678OAI: oai:DiVA.org:liu-127678DiVA, id: diva2:926369
Konferanse
Eurographics 2011 Workshop on 3D Object Retrieval (3DOR'11)
Tilgjengelig fra: 2016-05-06 Laget: 2016-05-06 Sist oppdatert: 2018-01-10

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