Textural Hausdorff Distance for Wider-Range Tolerance to Pose Variation and Misalignment in 2D Face Recognition

File Size Format
56664_1.pdf 411Kb Adobe PDF View
Title Textural Hausdorff Distance for Wider-Range Tolerance to Pose Variation and Misalignment in 2D Face Recognition
Author Zhao, Sanqiang; Gao, Yongsheng
Publication Title Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2009
Editor IEEE Computer Society
Year Published 2009
Place of publication Los Alamitos, California, USA
Publisher IEEE Computer Society
Abstract This paper addresses two critical but rarely concerned issues in 2D face recognition: wider-range tolerance to pose variation and misalignment. We propose a new Textural Hausdorff Distance (THD), which is a compound measurement integrating both spatial and textural features. The THD is applied to a Significant Jet Point (SJP) representation of face images, where a varied number of shape-driven SJPs are detected automatically from low-level edge map with rich information content. The comparative experiments conducted on publicly available FERET and AR face databases demonstrated that the proposed approach has a considerably wider range of tolerance against both in-depth head rotation and face misalignment.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1109/CVPR.2009.5206798
Conference name CVPR 2009
Location Miami, Florida, USA
Date From 2009-06-20
Date To 2009-06-25
URI http://hdl.handle.net/10072/25922
Date Accessioned 2009-07-20
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Computer Vision; PRE2009-Pattern Recognition
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

Show simple item record

Griffith University copyright notice