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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.
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2011 (English)Conference paper (Refereed)
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.

Place, publisher, year, edition, pages
2011.
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-127678OAI: oai:DiVA.org:liu-127678DiVA: diva2:926369
Conference
Eurographics 2011 Workshop on 3D Object Retrieval (3DOR'11)
Available from: 2016-05-06 Created: 2016-05-06 Last updated: 2016-05-12

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Hotz, Ingrid
Computer Vision and Robotics (Autonomous Systems)

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ReferencesLink to record
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