Combined 2D/3D Face Recognition Using Log-Gabor Templates

Cook, Jamie A. and McCool, Christopher and Chandran, Vinod and Sridharan, Sridha (2006) Combined 2D/3D Face Recognition Using Log-Gabor Templates. In Proceedings IEEE International Conference on Advanced Video and Signal Based Surveillance 2006 (AVSS06), pages pp. 83-88, Sydney, NSW, Australia.

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Abstract

The addition of Three Dimensional (3D) data has the potential to greatly improve the accuracy of Face Recognition Technologies by providing complementary information. In this paper a new method combining intensity and range images and providing insensitivity to expression variation based on Log-Gabor Templates is presented. By breaking a single image into 75 semi-independent observations the reliance of the algorithm upon any particular part of the face is relaxed allowing robustness in the presence of occulusions, distortions and facial expressions. Also presented is a new distance measure based on the Mahalanobis Cosine metric which has desirable discriminatory characteristics in both the 2D and 3D domains. Using the 3D database collected by University of Notre Dame for the Face Recognition Grand Challenge (FRGC), benchmarking results are presented demonstrating the performance of the proposed methods.

Item Type:	Conference Paper
RM Number:	2007004508
Status:	Published
Keywords:	gabor, 3D, face recognition, hybrid, templates, log-gabor
Subjects:	280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280204 Signal Processing 280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280207 Pattern Recognition
ID Code:	9334
Deposited By:	Bozzetto, Adam
Deposited On:	26 November 2007
Alternative Locations:	http://dx.doi.org/10.1109/AVSS.2006.35
Copyright Owner:	Copyright 2006 IEEE
Copyright Statement:	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.