Feature Extraction Methods for Real-Time Face Detection and Classification

<p/> <p>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 nonpara...

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Bibliographic Details
Main Authors:	Masip David, Bressan Marco, Vitrià Jordi
Format:	Article
Language:	English
Published:	SpringerOpen 2005-01-01
Series:	EURASIP Journal on Advances in Signal Processing
Subjects:	face detection face recognition boosting feature extraction
Online Access:	http://dx.doi.org/10.1155/ASP.2005.2061

id	doaj-e92dcecd58ed47089053d4b607a14c14
record_format	Article
spelling	doaj-e92dcecd58ed47089053d4b607a14c142020-11-25T00:17:04ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802005-01-01200513531492Feature Extraction Methods for Real-Time Face Detection and ClassificationMasip DavidBressan MarcoVitrià Jordi<p/> <p>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.</p>http://dx.doi.org/10.1155/ASP.2005.2061face detectionface recognitionboostingfeature extraction
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Masip David Bressan Marco Vitrià Jordi
spellingShingle	Masip David Bressan Marco Vitrià Jordi Feature Extraction Methods for Real-Time Face Detection and Classification EURASIP Journal on Advances in Signal Processing face detection face recognition boosting feature extraction
author_facet	Masip David Bressan Marco Vitrià Jordi
author_sort	Masip David
title	Feature Extraction Methods for Real-Time Face Detection and Classification
title_short	Feature Extraction Methods for Real-Time Face Detection and Classification
title_full	Feature Extraction Methods for Real-Time Face Detection and Classification
title_fullStr	Feature Extraction Methods for Real-Time Face Detection and Classification
title_full_unstemmed	Feature Extraction Methods for Real-Time Face Detection and Classification
title_sort	feature extraction methods for real-time face detection and classification
publisher	SpringerOpen
series	EURASIP Journal on Advances in Signal Processing
issn	1687-6172 1687-6180
publishDate	2005-01-01
description	<p/> <p>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.</p>
topic	face detection face recognition boosting feature extraction
url	http://dx.doi.org/10.1155/ASP.2005.2061
work_keys_str_mv	AT masipdavid featureextractionmethodsforrealtimefacedetectionandclassification AT bressanmarco featureextractionmethodsforrealtimefacedetectionandclassification AT vitri224jordi featureextractionmethodsforrealtimefacedetectionandclassification
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Feature Extraction Methods for Real-Time Face Detection and Classification

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