Face recognition on partially occluded images using compressed sensing

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In this work we have built a face recognition system using a new method based on recent advances in compressed sensing theory. The authors propose a method for recognizing faces that is robust to certain types and levels of occlusion. They also present tests that allow to assess the incidence of the...

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Detalles Bibliográficos
Autores principales:	Tepper, Mariano Hernán, Jacobo Berlles, Julio C. A.
Publicado:	2014
Materias:	Compressed sensing Face recognition Partial occlusion Computer graphics Signal reconstruction Face recognition systems Partial occlusions
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v36_n1_p235_MorelliAndres http://hdl.handle.net/20.500.12110/paper_01678655_v36_n1_p235_MorelliAndres
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_01678655_v36_n1_p235_MorelliAndres
record_format	dspace
spelling	paper:paper_01678655_v36_n1_p235_MorelliAndres2023-06-08T15:17:00Z Face recognition on partially occluded images using compressed sensing Tepper, Mariano Hernán Jacobo Berlles, Julio C. A. Compressed sensing Face recognition Partial occlusion Compressed sensing Computer graphics Signal reconstruction Face recognition systems Partial occlusions Face recognition In this work we have built a face recognition system using a new method based on recent advances in compressed sensing theory. The authors propose a method for recognizing faces that is robust to certain types and levels of occlusion. They also present tests that allow to assess the incidence of the proposed method. © 2013 Published by Elsevier B.V. Fil:Tepper, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Jacobo-Berlles, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2014 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v36_n1_p235_MorelliAndres http://hdl.handle.net/20.500.12110/paper_01678655_v36_n1_p235_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	Compressed sensing Face recognition Partial occlusion Compressed sensing Computer graphics Signal reconstruction Face recognition systems Partial occlusions Face recognition
spellingShingle	Compressed sensing Face recognition Partial occlusion Compressed sensing Computer graphics Signal reconstruction Face recognition systems Partial occlusions Face recognition Tepper, Mariano Hernán Jacobo Berlles, Julio C. A. Face recognition on partially occluded images using compressed sensing
topic_facet	Compressed sensing Face recognition Partial occlusion Compressed sensing Computer graphics Signal reconstruction Face recognition systems Partial occlusions Face recognition
description	In this work we have built a face recognition system using a new method based on recent advances in compressed sensing theory. The authors propose a method for recognizing faces that is robust to certain types and levels of occlusion. They also present tests that allow to assess the incidence of the proposed method. © 2013 Published by Elsevier B.V.
author	Tepper, Mariano Hernán Jacobo Berlles, Julio C. A.
author_facet	Tepper, Mariano Hernán Jacobo Berlles, Julio C. A.
author_sort	Tepper, Mariano Hernán
title	Face recognition on partially occluded images using compressed sensing
title_short	Face recognition on partially occluded images using compressed sensing
title_full	Face recognition on partially occluded images using compressed sensing
title_fullStr	Face recognition on partially occluded images using compressed sensing
title_full_unstemmed	Face recognition on partially occluded images using compressed sensing
title_sort	face recognition on partially occluded images using compressed sensing
publishDate	2014
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v36_n1_p235_MorelliAndres http://hdl.handle.net/20.500.12110/paper_01678655_v36_n1_p235_MorelliAndres
work_keys_str_mv	AT teppermarianohernan facerecognitiononpartiallyoccludedimagesusingcompressedsensing AT jacoboberllesjulioca facerecognitiononpartiallyoccludedimagesusingcompressedsensing
_version_	1768542500492935168

Face recognition on partially occluded images using compressed sensing

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