SHREC'14 track: Shape retrieval of non-rigid 3D human models

D. Pickup, X. Sun, P. L. Rosin, R. R. Martin, Z. Cheng, Z. Lian, M. Aono, A. Ben Hamza, A. Bronstein, M. Bronstein, S. Bu, U. Castellani, S. Cheng, V. Garro, A. Giachetti, A. Godil, J. Han, H. Johan, L. Lai, B. LiC. Li, H. Li, R. Litman, X. Liu, Z. Liu, Y. Lu, A. Tatsuma, J. Ye

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 languageEnglish
Title of host publication7th Eurographics Workshop on 3D Object Retrieval, 3DOR 2014
EditorsRemco Veltkamp, Hedi Tabia, Benjamin Bustos, Jean-Philippe Vandeborre
PublisherEurographics Association
ISBN (Electronic)9783905674583
DOIs
StatePublished - 2014
Externally publishedYes
Event7th Eurographics Workshop on 3D Object Retrieval, 3DOR 2014 - Strasbourg, France
Duration: 6 Apr 2014 → …

Publication series

NameEurographics Workshop on 3D Object Retrieval, EG 3DOR
ISSN (Print)1997-0463
ISSN (Electronic)1997-0471

Conference

Conference7th Eurographics Workshop on 3D Object Retrieval, 3DOR 2014
Country/TerritoryFrance
CityStrasbourg
Period6/04/14 → …

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