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: Morelli Andrés, A., Padovani, S., Tepper, M., Jacobo-Berlles, J.
Formato: JOUR
Materias:
Compressed sensing
Face recognition
Partial occlusion
Computer graphics
Signal reconstruction
Face recognition systems
Partial occlusions
Acceso en línea: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 todo:paper_01678655_v36_n1_p235_MorelliAndres
record_format dspace
spelling todo:paper_01678655_v36_n1_p235_MorelliAndres2023-10-03T15:05:27Z Face recognition on partially occluded images using compressed sensing Morelli Andrés, A. Padovani, S. Tepper, M. Jacobo-Berlles, J. 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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
Morelli Andrés, A.
Padovani, S.
Tepper, M.
Jacobo-Berlles, J.
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.
format JOUR
author Morelli Andrés, A.
Padovani, S.
Tepper, M.
Jacobo-Berlles, J.
author_facet Morelli Andrés, A.
Padovani, S.
Tepper, M.
Jacobo-Berlles, J.
author_sort Morelli Andrés, A.
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
url http://hdl.handle.net/20.500.12110/paper_01678655_v36_n1_p235_MorelliAndres
work_keys_str_mv AT morelliandresa facerecognitiononpartiallyoccludedimagesusingcompressedsensing
AT padovanis facerecognitiononpartiallyoccludedimagesusingcompressedsensing
AT tepperm facerecognitiononpartiallyoccludedimagesusingcompressedsensing
AT jacoboberllesj facerecognitiononpartiallyoccludedimagesusingcompressedsensing
_version_ 1782030284283183104

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