3D Face Recognition using Geodesic PZM Array from a Single Model per Person

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Title 3D Face Recognition using Geodesic PZM Array from a Single Model per Person
Author Hajati, Farshid; Raie, Abolghasem A.; Gao, Yongsheng
Journal Name IEICE Transactions on Information and Systems
Year Published 2011
Place of publication Japan
Publisher The Institute of Electronics, Information and Communication Engineers
Abstract For the 3D face recognition numerous methods have been proposed, but little attention has been given to the local-based representation for the texture map of the 3D models. In this paper, we propose a novel 3D face recognition approach based on locally extracted Geodesic Pseudo Zernike Moment Array (GPZMA) of the texture map when only one exemplar per person is available. In the proposed method, the function of the PZM is controlled by the geodesic deformations to tackle the problem of face recognition under the expression and pose variations. The feasibility and effectiveness investigation for the proposed method is conducted through a wide range of experiments using publicly available BU-3DFE and Bosphorus databases including samples with different expression and pose variations. The performance of the proposed method is compared with the performance of three state-of-the-art benchmark approaches. The encouraging experimental results demonstrate that the proposed method achieves much higher accuracy than the benchmarks in single-model databases.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1587/transinf.E94.D.1488
Copyright Statement Self-archiving of the author-manuscript version is not yet supported by this journal. Please refer to the journal link for access to the definitive, published version or contact the authors for more information.
Volume E94-D
Issue Number 7
Page from 1488
Page to 1496
ISSN 0916-8532
Date Accessioned 2012-02-02
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Computer Vision; Pattern Recognition and Data Mining
URI http://hdl.handle.net/10072/43286
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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