Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

SHREC’14 Track: Shape Retrieval of Non-Rigid 3D Human Models

Published

Author(s)

Afzal A. Godil, Chunyuan Li

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.
Proceedings Title
The Seventh Eurographics Workshop on 3D Object Retrieval (3DOR 2014)
Conference Dates
April 6, 2014
Conference Location
Strasbourg
Conference Title
Co-event of the 35rd Annual Conference of the European Association for Computer Graphics (Eurographics 2014).

Keywords

non-rigid 3D shape retrieval algorithms, human models, variety of body shapes and poses

Citation

Godil, A. and Li, C. (2014), SHREC’14 Track: Shape Retrieval of Non-Rigid 3D Human Models, The Seventh Eurographics Workshop on 3D Object Retrieval (3DOR 2014) , Strasbourg, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=915674 (Accessed April 20, 2024)
Created June 12, 2014, Updated February 19, 2017