Retrieval and Clustering from a 3D Human Database based on Body and Head Shape

Details Retrieval and Clustering from a 3D Human Database based on Body and Head Shape Retrieval and Clustering from a 3D Human Database based on Body and Head Shape

2011-05-13

arxiv.org/abs/1105.2800v1

Computer Science

Computer Vision and Pattern Recognition

Published in Proceedings of the 2006 Digital Human Modeling for Design and Engineering Conference, July 2006, Lyon, FRANCE, Se

Scientific paper

10.4271/2006-01-2355

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.

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