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: INPR
Lenguaje:English
Materias:
Compressed sensing
Face recognition
Partial occlusion
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_01678655_v_n_p_MorelliAndres
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_01678655_v_n_p_MorelliAndres
record_format dspace
spelling todo:paper_01678655_v_n_p_MorelliAndres2023-10-03T15:05:28Z 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 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. Fil:Morelli Andrés, 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:Jacobo-Berlles, J. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. INPR English info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_01678655_v_n_p_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 English
orig_language_str_mv English
topic Compressed sensing
Face recognition
Partial occlusion
spellingShingle Compressed sensing
Face recognition
Partial occlusion
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
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.
format INPR
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_v_n_p_MorelliAndres
work_keys_str_mv AT morelliandresa facerecognitiononpartiallyoccludedimagesusingcompressedsensing
AT padovanis facerecognitiononpartiallyoccludedimagesusingcompressedsensing
AT tepperm facerecognitiononpartiallyoccludedimagesusingcompressedsensing
AT jacoboberllesj facerecognitiononpartiallyoccludedimagesusingcompressedsensing
_version_ 1782026843378941952

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