Expression-Invariant 3D Face Recognition using Patched Geodesic Texture Transform

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Title Expression-Invariant 3D Face Recognition using Patched Geodesic Texture Transform
Author Hajati, Farshid; Raie, Abolghasem; Gao, Yongsheng
Publication Title Proceedings 2010 Digital Image Computing: Techniques and Applications DICTA 2010
Editor Patrick Kellenberger
Year Published 2010
Place of publication Australia
Abstract Numerous methods have been proposed for the expression-invariant 3D face recognition, but a little attention is given to the local-based representation for the texture of the 3D images. In this paper, we propose an expression-invariant 3D face recognition approach based on the locally extracted moments of the texture when only one exemplar per person is available. We use a geodesic texture transform accompanied by Pseudo Zernike Moments to extract local feature vectors from the texture of a face. An extensive experimental investigation is conducted using publicly available BU-3DFE face databases covering face recognition under expression variations. The performance of the proposed method is compared with the performance of two benchmark approaches. The encouraging experimental results demonstrate that the proposed method can be used for 3D face recognition in single model databases.
Peer Reviewed Yes
Published Yes
Publisher URI http://dicta2010.conference.nicta.com.au/
Alternative URI http://dx.doi.org/10.1109/DICTA.2010.52
Copyright Statement Copyright 2010 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.
Conference name International Conference on Digital Image Computing: Techniques and Applications (DICTA 2010)
Location Sydney, Australia
Date From 2010-12-01
Date To 2010-12-03
URI http://hdl.handle.net/10072/37733
Date Accessioned 2011-01-31
Date Available 2011-04-18T06:55:04Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Computer Vision
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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