Retrieval and Clustering from a 3D Human Database based on Body and Head Shape
Afzal A. Godil, Sanford P. Ressler
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.
SAE, 2006 Digital Human Modeling for Design and Engineering Conference
CAESAR, Human database, retrieval, clustering, similarity, 3d shape, body and head shape descriptor, 3D search
and Ressler, S.
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 October 2, 2023)