Feature extraction methods for real-time face detection and classification

Authors:
David Masip;Marco Bressan;Jordi Vitrià
Affiliations:
Centre de Visió per Computador (CVC), Departamento de Informática, Universitat Autònoma de Barcelona, Bellaterra, Spain;Centre de Visió per Computador (CVC), Departamento de Informática, Universitat Autònoma de Barcelona, Bellaterra, Spain;Centre de Visió per Computador (CVC), Departamento de Informática, Universitat Autònoma de Barcelona, Bellaterra, Spain
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2005

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Abstract

We propose a complete scheme for face detection and recognition. We have used a Bayesian classifier for face detection and a nearest neighbor approach for face classification. To improve the performance of the classifier, a feature extraction algorithm based on a modified nonparametric discriminant analysis has also been implemented. The complete scheme has been tested in a real-time environment achieving encouraging results. We also show a new boosting scheme based on adapting the features to the misclassified examples, achieving also interesting results.