EURASIP Journal on Applied Signal Processing 
Volume 2005 (2005), Issue 13, Pages 2061-2071
doi:10.1155/ASP.2005.2061

Feature Extraction Methods for Real-Time Face Detection and Classification

David Masip, Marco Bressan, and Jordi Vitrià

 Centre de Visió per Computador (CVC), Departamento de Informática, Universitat Autònoma de Barcelona, Bellaterra 08193, Spain
Received 22 December 2003; Revised 29 November 2004

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.