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

Cook, Jamie A., McCool, Christopher, Chandran, Vinod, & Sridharan, Sridha (2006) Combined 2D/3D Face Recognition Using Log-Gabor Templates. In IEEE International Conference on Advanced Video and Signal Based Surveillance 2006 (AVSS06), 22-24 November 2006, 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.

Impact and interest:

1 citations in Scopus
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ID Code: 9334
Item Type: Conference Paper
Keywords: gabor, 3D, face recognition, hybrid, templates, log, gabor
DOI: 10.1109/AVSS.2006.35
ISBN: 0769526888
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Pattern Recognition and Data Mining (080109)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
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.
Deposited On: 26 Nov 2007
Last Modified: 29 Feb 2012 23:22

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