Independent component analysis and support vector machine for face feature extraction

Authors:
Gianluca Antonini;Vlad Popovici;Jean-Philippe Thiran
Affiliations:
Signal Processing Institute, Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland;Signal Processing Institute, Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland;Signal Processing Institute, Swiss Federal Institute of Technology Lausanne, Lausanne, Switzerland
Venue:
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Year:
2003

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Abstract

We propose Independent Component Analysis representation and Support Vector Machine classification to extract facial features in a face detection/localization context. The goal is to find a better space where project the data in order to build ten different face-feature classifiers that are robust to illumination variations and bad environment conditions. The method was tested on the BANCA database, in different scenarios: controlled conditions, degraded conditions and adverse conditions.