Open Access

Feature Extraction Methods for Real-Time Face Detection and Classification

EURASIP Journal on Advances in Signal Processing20052005:531492

https://doi.org/10.1155/ASP.2005.2061

Received: 22 December 2003

Published: 15 August 2005

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.

Keywords and phrases

face detection face recognition boosting feature extraction

Authors’ Affiliations

(1)
Centre de Visió per Computador (CVC), Departamento de Informática, Universitat Autònoma de Barcelona

Copyright

© David Masip et al. 2005

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.