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: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p90_MorelliAndres http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p90_MorelliAndres |
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paper:paper_03029743_v7441LNCS_n_p90_MorelliAndres2023-06-08T15:28:47Z Randomized face recognition on partially occluded images Morelli, Andrés Ariel Tepper, Mariano Hernán Mejail, Marta Estela 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 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p90_MorelliAndres 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) |
topic |
Computer vision Image analysis Face recognition |
spellingShingle |
Computer vision Image analysis Face recognition Morelli, Andrés Ariel Tepper, Mariano Hernán Mejail, Marta Estela 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. |
author |
Morelli, Andrés Ariel Tepper, Mariano Hernán Mejail, Marta Estela |
author_facet |
Morelli, Andrés Ariel Tepper, Mariano Hernán Mejail, Marta Estela |
author_sort |
Morelli, Andrés Ariel |
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 |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p90_MorelliAndres http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p90_MorelliAndres |
work_keys_str_mv |
AT morelliandresariel randomizedfacerecognitiononpartiallyoccludedimages AT teppermarianohernan randomizedfacerecognitiononpartiallyoccludedimages AT mejailmartaestela randomizedfacerecognitiononpartiallyoccludedimages |
_version_ |
1768546584617811968 |