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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2012
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Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p90_MorelliAndres http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_03029743_v7441LNCS_n_p90_MorelliAndres_oai |
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I28-R145-paper_03029743_v7441LNCS_n_p90_MorelliAndres_oai2020-10-19 Morelli Andres, A. Padovani, S. Tepper, M. Mejail, M. Jacobo, J. 2012 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. application/pdf http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p90_MorelliAndres info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar Lect. Notes Comput. Sci. 2012;7441 LNCS:90-97 Computer vision Image analysis Face recognition Randomized face recognition on partially occluded images info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_03029743_v7441LNCS_n_p90_MorelliAndres_oai |
institution |
Universidad de Buenos Aires |
institution_str |
I-28 |
repository_str |
R-145 |
collection |
Repositorio Digital de la Universidad de Buenos Aires (UBA) |
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 http://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=artiaex&d=paper_03029743_v7441LNCS_n_p90_MorelliAndres_oai |
work_keys_str_mv |
AT morelliandresa randomizedfacerecognitiononpartiallyoccludedimages AT padovanis randomizedfacerecognitiononpartiallyoccludedimages AT tepperm randomizedfacerecognitiononpartiallyoccludedimages AT mejailm randomizedfacerecognitiononpartiallyoccludedimages AT jacoboj randomizedfacerecognitiononpartiallyoccludedimages |
_version_ |
1766026688571899904 |