Automated Face Pose Estimation Using Elastic Energy Models

File Size Format
40005_1.pdf 313Kb Adobe PDF View
Title Automated Face Pose Estimation Using Elastic Energy Models
Author Zhao, Sanqiang; Gao, Yongsheng
Publication Title Proceedings: The 18th International Conference of Pattern Recognition
Editor IAPR
Year Published 2006
Place of publication Los Alamitos, California, USA
Publisher IEEE Computer Society
Abstract Face pose estimation forms an important part in a face recognition system. However, fully automated and accurate pose determination still remains an unsolved problem in the research community. In this paper, we propose a novel Elastic Energy Model to automatically estimate face poses. Our method employs statistical energy contributions of a set of feature points, which can avoid over-trusting selected anchor points. It provides a robust solution to the feature localisation inaccuracy problem, which is inevitable in practical applications with cluttered backgrounds. As a general configuration, our model can be easily implemented and extended to other non-rigid objects. Its effectiveness and robustness are revealed in our experiments.
Peer Reviewed Yes
Published Yes
Alternative URI
Copyright Statement Copyright 2006 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
ISBN 0-7695-2521-0
Conference name The 18th International Conference of Pattern Recognition (ICPR)
Location Hong Kong
Date From 2006-08-20
Date To 2006-08-24
Date Accessioned 2007-02-26
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Engineering and Information Technology
Subject PRE2009-Pattern Recognition
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Show simple item record

Griffith University copyright notice