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Independent component analysis of edge information for face recognition
The book presents research work on face recognition using edge information as features for face recognition with ICA algorithms. The independent components are extracted from edge information. These independent components are used with classifiers to match the facial images for recognition purpose....
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Springer
2013
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-81-322-1512-7 http://cds.cern.ch/record/1620180 |
_version_ | 1780933087797968896 |
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author | Karande, Kailash Jagannath Talbar, Sanjay |
author_facet | Karande, Kailash Jagannath Talbar, Sanjay |
author_sort | Karande, Kailash Jagannath |
collection | CERN |
description | The book presents research work on face recognition using edge information as features for face recognition with ICA algorithms. The independent components are extracted from edge information. These independent components are used with classifiers to match the facial images for recognition purpose. In their study, authors have explored Canny and LOG edge detectors as standard edge detection methods. Oriented Laplacian of Gaussian (OLOG) method is explored to extract the edge information with different orientations of Laplacian pyramid. Multiscale wavelet model for edge detection is also propos |
id | cern-1620180 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2013 |
publisher | Springer |
record_format | invenio |
spelling | cern-16201802021-04-21T21:53:46Zdoi:10.1007/978-81-322-1512-7http://cds.cern.ch/record/1620180engKarande, Kailash JagannathTalbar, SanjayIndependent component analysis of edge information for face recognitionComputing and ComputersThe book presents research work on face recognition using edge information as features for face recognition with ICA algorithms. The independent components are extracted from edge information. These independent components are used with classifiers to match the facial images for recognition purpose. In their study, authors have explored Canny and LOG edge detectors as standard edge detection methods. Oriented Laplacian of Gaussian (OLOG) method is explored to extract the edge information with different orientations of Laplacian pyramid. Multiscale wavelet model for edge detection is also proposSpringeroai:cds.cern.ch:16201802013 |
spellingShingle | Computing and Computers Karande, Kailash Jagannath Talbar, Sanjay Independent component analysis of edge information for face recognition |
title | Independent component analysis of edge information for face recognition |
title_full | Independent component analysis of edge information for face recognition |
title_fullStr | Independent component analysis of edge information for face recognition |
title_full_unstemmed | Independent component analysis of edge information for face recognition |
title_short | Independent component analysis of edge information for face recognition |
title_sort | independent component analysis of edge information for face recognition |
topic | Computing and Computers |
url | https://dx.doi.org/10.1007/978-81-322-1512-7 http://cds.cern.ch/record/1620180 |
work_keys_str_mv | AT karandekailashjagannath independentcomponentanalysisofedgeinformationforfacerecognition AT talbarsanjay independentcomponentanalysisofedgeinformationforfacerecognition |