Randomized face recognition on partially occluded images

Mostrar todas las versiones(3)

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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Morelli Andres, A., Padovani, S., Tepper, M., Mejail, M., Jacobo, J.
Formato:	SER
Materias:	Computer vision Image analysis Face recognition
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p90_MorelliAndres
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_03029743_v7441LNCS_n_p90_MorelliAndres
record_format	dspace
spelling	todo:paper_03029743_v7441LNCS_n_p90_MorelliAndres2023-10-03T15:19:29Z Randomized face recognition on partially occluded images 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. SER 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)
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	SER
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
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_	1782024165327372288

Randomized face recognition on partially occluded images

Ejemplares similares