SHREC 2011: robust feature detection and description benchmark

Details SHREC 2011: robust feature detection and description benchmark SHREC 2011: robust feature detection and description benchmark

2011-02-21

arxiv.org/abs/1102.4258v1

Computer Science

Computer Vision and Pattern Recognition

This is a full version of the SHREC'11 report published in 3DOR

Scientific paper

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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