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Search: WFRF:(Kovnatsky A)

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  • Boyer, E, et al. (author)
  • SHREC 2011: Robust Feature Detection and Description Benchmark
  • 2011
  • Conference paper (peer-reviewed)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.
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  • Result 1-1 of 1
Type of publication
conference paper (1)
Type of content
peer-reviewed (1)
Author/Editor
Zobel, Valentin (1)
Hotz, Ingrid (1)
Boyer, E (1)
Bronstein, A.M. (1)
Bronstein, M.M. (1)
Bustos, B (1)
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Darom, T (1)
Horaud, R (1)
Kelle, Y (1)
Keustermans, J (1)
Kovnatsky, A (1)
Litman, R (1)
Reininghaus, Jan (1)
Sipiran, I (1)
Smeets, D (1)
Suetens, P (1)
Vandermeulen, D (1)
Zaharescu, A (1)
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University
Linköping University (1)
Language
English (1)
Research subject (UKÄ/SCB)
Natural sciences (1)
Year

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