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.
| Original language | English |
|---|---|
| Title of host publication | Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - co-event of Eurographics 2011 |
| Editors | Tobias Schreck, Alfredo Ferreira, Afzal Godil, Hamid Laga, Remco Veltkamp, Ioannis Pratikakis |
| Publisher | Eurographics Association |
| Pages | 71-78 |
| Number of pages | 8 |
| ISBN (Electronic) | 9783905674316 |
| DOIs | |
| State | Published - 2011 |
| Event | 4th Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 - Llandudno, United Kingdom Duration: 10 Apr 2011 → … |
Publication series
| Name | Eurographics Workshop on 3D Object Retrieval, EG 3DOR |
|---|---|
| ISSN (Print) | 1997-0463 |
| ISSN (Electronic) | 1997-0471 |
Conference
| Conference | 4th Eurographics Workshop on 3D Object Retrieval, 3DOR 2011 |
|---|---|
| Country/Territory | United Kingdom |
| City | Llandudno |
| Period | 10/04/11 → … |
Bibliographical note
Publisher Copyright:© The Eurographics Association 2011.
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