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 Ariel, Tepper, Mariano Hernán, Jacobo Berlles, Julio C. A.
Publicado: 2013
Materias:
Compressed sensing
Face recognition
Partial occlusion
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v_n_p_MorelliAndres
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 paper:paper_01678655_v_n_p_MorelliAndres
record_format dspace
spelling paper:paper_01678655_v_n_p_MorelliAndres2023-06-08T15:17:01Z Face recognition on partially occluded images using compressed sensing Morelli, Andrés Ariel Tepper, Mariano Hernán Jacobo Berlles, Julio C. A. 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. 2013 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v_n_p_MorelliAndres 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)
topic Compressed sensing
Face recognition
Partial occlusion
spellingShingle Compressed sensing
Face recognition
Partial occlusion
Morelli, Andrés Ariel
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
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.
author Morelli, Andrés Ariel
Tepper, Mariano Hernán
Jacobo Berlles, Julio C. A.
author_facet Morelli, Andrés Ariel
Tepper, Mariano Hernán
Jacobo Berlles, Julio C. A.
author_sort Morelli, Andrés Ariel
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 2013
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_01678655_v_n_p_MorelliAndres
http://hdl.handle.net/20.500.12110/paper_01678655_v_n_p_MorelliAndres
work_keys_str_mv AT morelliandresariel facerecognitiononpartiallyoccludedimagesusingcompressedsensing
AT teppermarianohernan facerecognitiononpartiallyoccludedimagesusingcompressedsensing
AT jacoboberllesjulioca facerecognitiononpartiallyoccludedimagesusingcompressedsensing
_version_ 1768546536880340992

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