Randomized face recognition on partially occluded images

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, Andrés Ariel, Tepper, Mariano Hernán, Mejail, Marta Estela
Publicado: 2012
Materias:
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p90_MorelliAndres
http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p90_MorelliAndres
Aporte de:
id paper:paper_03029743_v7441LNCS_n_p90_MorelliAndres
record_format dspace
spelling paper:paper_03029743_v7441LNCS_n_p90_MorelliAndres2023-06-08T15:28:47Z Randomized face recognition on partially occluded images Morelli, Andrés Ariel Tepper, Mariano Hernán Mejail, Marta Estela 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. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p90_MorelliAndres 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, Andrés Ariel
Tepper, Mariano Hernán
Mejail, Marta Estela
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.
author Morelli, Andrés Ariel
Tepper, Mariano Hernán
Mejail, Marta Estela
author_facet Morelli, Andrés Ariel
Tepper, Mariano Hernán
Mejail, Marta Estela
author_sort Morelli, Andrés Ariel
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
publishDate 2012
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v7441LNCS_n_p90_MorelliAndres
http://hdl.handle.net/20.500.12110/paper_03029743_v7441LNCS_n_p90_MorelliAndres
work_keys_str_mv AT morelliandresariel randomizedfacerecognitiononpartiallyoccludedimages
AT teppermarianohernan randomizedfacerecognitiononpartiallyoccludedimages
AT mejailmartaestela randomizedfacerecognitiononpartiallyoccludedimages
_version_ 1768546584617811968