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  • Research Article
  • 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:

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, Bellaterra, 08193, Spain

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