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Gabor Filter Bank Representation for 3D Face Recognition
Cairns, Australia December 06-December 08
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DICTA.2005.39Digital Image Computing: Techniques a ...
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Jamie Cook, Queensland University of Technology
Vinod Chandran, Queensland University of Technology
Sridha Sridharan, Queensland University of Technology
Clinton Fookes, Queensland University of Technology
In this paper an investigation of the validity of Gabor filter banks for feature extraction in a face recognition context is presented. Using the combined 2D/3D database collected by the Computer Vision Laboratory at the University of Notre Dame and the Colorado State University?s implementation of the Eigenfaces method, a comprehensive evaluation of the Log-Gabor filter bank representation is performed. Analysis of both the spatial and frequency domains is conducted to evaluate the distribution of discriminatory information.
Citation:
Jamie Cook, Vinod Chandran, Sridha Sridharan, Clinton Fookes, "Gabor Filter Bank Representation for 3D Face Recognition," dicta, pp.4, Digital Image Computing: Techniques and Applications (DICTA'05), 2005
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