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 |
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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 |
_version_ |
1769810335617777664 |