SHREC 2011: Robust Feature Detection and Description Benchmark
2011 (English)Conference paper (Refereed)
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
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:liu:diva-127678OAI: oai:DiVA.org:liu-127678DiVA: diva2:926369
Eurographics 2011 Workshop on 3D Object Retrieval (3DOR'11)