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 December 6, 2023)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Similarity Based Retrieval from a 3D Human Database
Published
Author(s)
,
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
Pub Type
Others
Download Paper
Keywords
3D search, body and head shape descriptor, humban database, retrieval, similarity
Citation
Created August 1, 2005, Updated February 19, 2017