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• W2127486527 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" @default.
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• W2127486527 date "2011-04-10" @default.
• W2127486527 modified "2023-09-23" @default.
• W2127486527 title "SHREC 2011: robust feature detection and description benchmark" @default.
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• W2127486527 doi "https://doi.org/10.5555/2381170.2381184" @default.
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