Frequency decomposition techniques for increased discriminative 3D facial information capture

Fookes, Clinton B., Cook, Jamie A., Sridharan, Sridha, & Tistarelli, Massimo (2010) Frequency decomposition techniques for increased discriminative 3D facial information capture. In Proceedings of the International Symposium on 3D Data Processing, Visualization and Transmission, Espace Saint Martin, Paris.

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Eigen-based techniques and other monolithic approaches to face recognition have long been a cornerstone in the face recognition community due to the high dimensionality of face images. Eigen-face techniques provide minimal reconstruction error and limit high-frequency content while linear discriminant-based techniques (fisher-faces) allow the construction of subspaces which preserve discriminatory information. This paper presents a frequency decomposition approach for improved face recognition performance utilising three well-known techniques: Wavelets; Gabor / Log-Gabor; and the Discrete Cosine Transform. Experimentation illustrates that frequency domain partitioning prior to dimensionality reduction increases the information available for classification and greatly increases face recognition performance for both eigen-face and fisher-face approaches.

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ID Code: 40951
Item Type: Conference Paper
Refereed: Yes
Keywords: 3D Face Recognition, Frequency Decomposition, Gabor, Wavelet, Discrete Cosine Transform
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Computer Vision (080104)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > ELECTRICAL AND ELECTRONIC ENGINEERING (090600) > Signal Processing (090609)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Institutes > Information Security Institute
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2010 [please consult the authors]
Deposited On: 27 Mar 2011 23:15
Last Modified: 29 Feb 2012 14:32

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