Retrieval and Clustering from a 3D Human Database based on Body and Head Shape
Abstract
In this paper, we describe a framework for similarity based retrieval and clustering from a 3D human database. Our technique is based on both body and head shape representation and the retrieval is based on similarity of both of them. The 3D human database used in our study is the CAESAR anthropometric database which contains approximately 5000 bodies. We have developed a web-based interface for specifying the queries to interact with the retrieval system. Our approach performs the similarity based retrieval in a reasonable amount of time and is a practical approach.
Cite
@article{arxiv.1105.2800,
title = {Retrieval and Clustering from a 3D Human Database based on Body and Head Shape},
author = {Afzal Godil and Sandy Ressler},
journal= {arXiv preprint arXiv:1105.2800},
year = {2011}
}
Comments
Published in Proceedings of the 2006 Digital Human Modeling for Design and Engineering Conference, July 2006, Lyon, FRANCE, Session: Advanced Size/Shape Analysis Paper Number: 2006-01-2355 http://papers.sae.org/2006-01-2355