Randomized face recognition on partially occluded images

In this work we propose a new method for face recognition that successfully handles occluded faces. We propose an innovative improvement that allows to detect and discard occluded zones of the face, thus making recognition more robust in the presence of occlusion. We provide experimental results tha...

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Autores principales: Morelli Andres, A., Padovani, S., Tepper, M., Mejail, M., Jacobo, J.
Formato: Artículo publishedVersion
Lenguaje:Inglés
Publicado: 2012
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Acceso en línea:http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p90_MorelliAndres
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id paperaa:paper_03029743_v7441LNCS_n_p90_MorelliAndres
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spelling paperaa:paper_03029743_v7441LNCS_n_p90_MorelliAndres2023-06-12T16:47:24Z Randomized face recognition on partially occluded images Lect. Notes Comput. Sci. 2012;7441 LNCS:90-97 Morelli Andres, A. Padovani, S. Tepper, M. Mejail, M. Jacobo, J. Computer vision Image analysis Face recognition In this work we propose a new method for face recognition that successfully handles occluded faces. We propose an innovative improvement that allows to detect and discard occluded zones of the face, thus making recognition more robust in the presence of occlusion. We provide experimental results that show that the proposed method performs well in practice. © 2012 Springer-Verlag. Fil:Morelli Andres, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Tepper, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Mejail, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion application/pdf eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p90_MorelliAndres
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
language Inglés
orig_language_str_mv eng
topic Computer vision
Image analysis
Face recognition
spellingShingle Computer vision
Image analysis
Face recognition
Morelli Andres, A.
Padovani, S.
Tepper, M.
Mejail, M.
Jacobo, J.
Randomized face recognition on partially occluded images
topic_facet Computer vision
Image analysis
Face recognition
description In this work we propose a new method for face recognition that successfully handles occluded faces. We propose an innovative improvement that allows to detect and discard occluded zones of the face, thus making recognition more robust in the presence of occlusion. We provide experimental results that show that the proposed method performs well in practice. © 2012 Springer-Verlag.
format Artículo
Artículo
publishedVersion
author Morelli Andres, A.
Padovani, S.
Tepper, M.
Mejail, M.
Jacobo, J.
author_facet Morelli Andres, A.
Padovani, S.
Tepper, M.
Mejail, M.
Jacobo, J.
author_sort Morelli Andres, A.
title Randomized face recognition on partially occluded images
title_short Randomized face recognition on partially occluded images
title_full Randomized face recognition on partially occluded images
title_fullStr Randomized face recognition on partially occluded images
title_full_unstemmed Randomized face recognition on partially occluded images
title_sort randomized face recognition on partially occluded images
publishDate 2012
url http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p90_MorelliAndres
work_keys_str_mv AT morelliandresa randomizedfacerecognitiononpartiallyoccludedimages
AT padovanis randomizedfacerecognitiononpartiallyoccludedimages
AT tepperm randomizedfacerecognitiononpartiallyoccludedimages
AT mejailm randomizedfacerecognitiononpartiallyoccludedimages
AT jacoboj randomizedfacerecognitiononpartiallyoccludedimages
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