Abstract
We have created a new benchmarking dataset for testing non-rigid 3D shape retrieval algorithms, one that is much more challenging than existing datasets. Our dataset features exclusively human models, in a variety of body shapes and poses. 3D models of humans are commonly used within computer graphics and vision, and so the ability to distinguish between body shapes is an important shape retrieval problem. In this track nine groups have submitted the results of a total of 22 different methods which have been tested on our new dataset.
| Original language | English |
|---|---|
| Title of host publication | 7th Eurographics Workshop on 3D Object Retrieval, 3DOR 2014 |
| Editors | Remco Veltkamp, Hedi Tabia, Benjamin Bustos, Jean-Philippe Vandeborre |
| Publisher | Eurographics Association |
| ISBN (Electronic) | 9783905674583 |
| DOIs | |
| State | Published - 2014 |
| Event | 7th Eurographics Workshop on 3D Object Retrieval, 3DOR 2014 - Strasbourg, France Duration: 6 Apr 2014 → … |
Publication series
| Name | Eurographics Workshop on 3D Object Retrieval, EG 3DOR |
|---|---|
| ISSN (Print) | 1997-0463 |
| ISSN (Electronic) | 1997-0471 |
Conference
| Conference | 7th Eurographics Workshop on 3D Object Retrieval, 3DOR 2014 |
|---|---|
| Country/Territory | France |
| City | Strasbourg |
| Period | 6/04/14 → … |
Fingerprint
Dive into the research topics of 'SHREC'14 track: Shape retrieval of non-rigid 3D human models'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver