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- Boyer, EGrenoble, France (author)
SHREC 2011: Robust Feature Detection and Description Benchmark
- Article/chapterEnglish2011
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- 2011
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- LIBRIS-ID:oai:DiVA.org:liu-127678
- https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-127678URI
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- Language:English
- Summary in:English
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- 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.
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- Bronstein, A.M.Tel Aviv University, Israel (author)
- Bronstein, M.M.Università della Svizzera Italiana, Lugano, Switzerland (author)
- Bustos, BUniversity of Chile (author)
- Darom, TBar-Ilan University, Ramat-Gan, Israel (author)
- Horaud, RGrenoble, France (author)
- Hotz, IngridZuse Institue Berlin(Swepub:liu)ingho32 (author)
- Kelle, YBar-Ilan University, Ramat-Gan, Israel (author)
- Keustermans, JK.U. Leuven, Belgium (author)
- Kovnatsky, AIsrael Institute of Technology, Haifa, Israel (author)
- Litman, RTel Aviv University, Israel (author)
- Reininghaus, JanZuse Institue Berlin (author)
- Sipiran, IUniversity of Chile (author)
- Smeets, DK.U. Leuven, Belgium (author)
- Suetens, PK.U. Leuven, Belgium (author)
- Vandermeulen, DK.U. Leuven, Belgium (author)
- Zaharescu, AWaterloo, Canada (author)
- Zobel, ValentinZuse Institut Berlin, Germany (author)
- Grenoble, FranceTel Aviv University, Israel (creator_code:org_t)
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- Hotz, Ingrid
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- Keustermans, J
- Kovnatsky, A
- Litman, R
- Reininghaus, Jan
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- Suetens, P
- Vandermeulen, D
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