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

Published

Author(s)

Afzal A. Godil, Sanford P. Ressler

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 retrieval 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. Furthermore, we have developed a web based interface for specifying the queries to interact with the retrieval system. We have seen that our approach performs the similarity based retrieval in a reasonable amount of time and is a practical approach.
Conference Title
SAE, 2006 Digital Human Modeling for Design and Engineering Conference

Keywords

CAESAR, Human database, retrieval, clustering, similarity, 3d shape, body and head shape descriptor, 3D search

Citation

Godil, A. and Ressler, S. (2006), Retrieval and Clustering from a 3D Human Database based on Body and Head Shape, SAE, 2006 Digital Human Modeling for Design and Engineering Conference, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=150659 (Accessed May 28, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created August 11, 2006, Updated February 17, 2017