Multispectral Facial Recognition: A Review
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10316/101337 https://doi.org/10.1109/ACCESS.2020.3037451 |
Resumo: | Multispectral images are images with more than one channel acquired in different bands or spectral ranges of the electromagnetic spectrum. Each one has speci c details that can be exploited in facial recognition applications. In particular, to detect facial expression variations, pose variations and presentation attacks, a facial analysis system can bene t not only of images from the visible spectral band but also of infrared images. In this paper we perform a review of the state of the art methods used in multispectral facial recognition using images from the visible spectral band and also from the Near Infrared, Short Wavelength Infrared and LongWavelength Infrared sub-bands. The public multispectral databases for facial analysis are identi ed, and a comparison is made, taking into consideration their speci cations. The multispectral facial recognition methods are classi ed according to their basic working principle, from the traditional Fusion and Subspace methods to the more recent Deep Neural Networks. |
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Multispectral Facial Recognition: A ReviewFace recognitionmultispectral imageinfrared imageMultispectral images are images with more than one channel acquired in different bands or spectral ranges of the electromagnetic spectrum. Each one has speci c details that can be exploited in facial recognition applications. In particular, to detect facial expression variations, pose variations and presentation attacks, a facial analysis system can bene t not only of images from the visible spectral band but also of infrared images. In this paper we perform a review of the state of the art methods used in multispectral facial recognition using images from the visible spectral band and also from the Near Infrared, Short Wavelength Infrared and LongWavelength Infrared sub-bands. The public multispectral databases for facial analysis are identi ed, and a comparison is made, taking into consideration their speci cations. The multispectral facial recognition methods are classi ed according to their basic working principle, from the traditional Fusion and Subspace methods to the more recent Deep Neural Networks.2020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/101337http://hdl.handle.net/10316/101337https://doi.org/10.1109/ACCESS.2020.3037451eng2169-3536Chambino, Luis LopesSilva, José SilvestreBernardino, Alexandreinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-08-23T20:39:27Zoai:estudogeral.uc.pt:10316/101337Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T21:18:33.130331Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Multispectral Facial Recognition: A Review |
title |
Multispectral Facial Recognition: A Review |
spellingShingle |
Multispectral Facial Recognition: A Review Chambino, Luis Lopes Face recognition multispectral image infrared image |
title_short |
Multispectral Facial Recognition: A Review |
title_full |
Multispectral Facial Recognition: A Review |
title_fullStr |
Multispectral Facial Recognition: A Review |
title_full_unstemmed |
Multispectral Facial Recognition: A Review |
title_sort |
Multispectral Facial Recognition: A Review |
author |
Chambino, Luis Lopes |
author_facet |
Chambino, Luis Lopes Silva, José Silvestre Bernardino, Alexandre |
author_role |
author |
author2 |
Silva, José Silvestre Bernardino, Alexandre |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Chambino, Luis Lopes Silva, José Silvestre Bernardino, Alexandre |
dc.subject.por.fl_str_mv |
Face recognition multispectral image infrared image |
topic |
Face recognition multispectral image infrared image |
description |
Multispectral images are images with more than one channel acquired in different bands or spectral ranges of the electromagnetic spectrum. Each one has speci c details that can be exploited in facial recognition applications. In particular, to detect facial expression variations, pose variations and presentation attacks, a facial analysis system can bene t not only of images from the visible spectral band but also of infrared images. In this paper we perform a review of the state of the art methods used in multispectral facial recognition using images from the visible spectral band and also from the Near Infrared, Short Wavelength Infrared and LongWavelength Infrared sub-bands. The public multispectral databases for facial analysis are identi ed, and a comparison is made, taking into consideration their speci cations. The multispectral facial recognition methods are classi ed according to their basic working principle, from the traditional Fusion and Subspace methods to the more recent Deep Neural Networks. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10316/101337 http://hdl.handle.net/10316/101337 https://doi.org/10.1109/ACCESS.2020.3037451 |
url |
http://hdl.handle.net/10316/101337 https://doi.org/10.1109/ACCESS.2020.3037451 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
2169-3536 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799134079795331072 |