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EnglishFeature-based approaches have recently become very popular in computer vision and image analysis applications,and are becoming a promising direction in shape retrieval. SHREC’10 robust feature detection and descriptionbenchmark 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 andstrength of the transformations that can be dealt with. The present paper is a report of the SHREC’10 robustfeature detection and description benchmark results.
| Titolo: | SHREC 2010: robust feature detection and description benchmark |
| Autori: | |
| Data di pubblicazione: | 2010 |
| 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’10 robust feature detection and descriptionbenchmark 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 andstrength of the transformations that can be dealt with. The present paper is a report of the SHREC’10 robustfeature detection and description benchmark results. |
| Handle: | http://hdl.handle.net/11562/368239 |
| ISBN: | 9781450301602 |
| Appare nelle tipologie: | 04.01 Contributo in atti di convegno |
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