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Similarity Based Retrieval from a 3D Human Database

Published

Author(s)

Afzal A. Godil, Sanford P. Ressler

Abstract

In this paper, we describe a framework for similarity based retrieval 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 and there are around 5000 bodies. Furthermore, we have developed a web based interface for specifying the queries and to interact with the retrieval system. We have seen that our approach performs the similarity based retrieval in reasonable amount of time and seems to be a practical approach.
Citation
Siggraph 2005 Poster

Keywords

3D search, body and head shape descriptor, humban database, retrieval, similarity

Citation

Godil, A. and Ressler, S. (2005), Similarity Based Retrieval from a 3D Human Database, Siggraph 2005 Poster, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=150249 (Accessed June 24, 2024)

Issues

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

Created August 1, 2005, Updated February 19, 2017