Paper Info
Title
Retrieval and Clustering from a 3D Human Database based on Body and Head Shape
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 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.
Year
DOI
Venue
2011
10.4271/2006-01-2355
Clinical Orthopaedics and Related Research
Keywords
Field
DocType
computational geometry,pattern recognition
Pattern recognition,Information retrieval,Computer science,Artificial intelligence,Cluster analysis,Database
Journal
Volume
Citations 
PageRank 
abs/1105.2
6
0.49
References 
Authors
1
2
Name
Order
Citations
PageRank
Afzal Godil161930.70
Sandy Ressler29411.45