Multispectral Facial Recognition: A Review
Multispectral images are images with more than one channel acquired in different bands or spectral ranges of the electromagnetic spectrum. Each one has specific details that can be exploited in facial recognition applications. In particular, to detect facial expression variations, pose variations an...
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doaj-37901a149fab473e8082e5d205a0b5ff2021-03-30T03:56:54ZengIEEEIEEE Access2169-35362020-01-01820787120788310.1109/ACCESS.2020.30374519257496Multispectral Facial Recognition: A ReviewLuis Lopes Chambino0https://orcid.org/0000-0003-0314-1207Jose Silvestre Silva1https://orcid.org/0000-0001-7529-6422Alexandre Bernardino2https://orcid.org/0000-0003-3991-1269Portuguese Military Academy, Lisbon, PortugalPortuguese Military Academy, Lisbon, PortugalDepartment of Electrical and Computer Engineering, Instituto Superior Técnico, Lisbon, PortugalMultispectral images are images with more than one channel acquired in different bands or spectral ranges of the electromagnetic spectrum. Each one has specific 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 benefit 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 Long Wavelength Infrared sub-bands. The public multispectral databases for facial analysis are identified, and a comparison is made, taking into consideration their specifications. The multispectral facial recognition methods are classified according to their basic working principle, from the traditional Fusion and Subspace methods to the more recent Deep Neural Networks.https://ieeexplore.ieee.org/document/9257496/Face recognitionmultispectral imageinfrared image |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Luis Lopes Chambino Jose Silvestre Silva Alexandre Bernardino |
spellingShingle |
Luis Lopes Chambino Jose Silvestre Silva Alexandre Bernardino Multispectral Facial Recognition: A Review IEEE Access Face recognition multispectral image infrared image |
author_facet |
Luis Lopes Chambino Jose Silvestre Silva Alexandre Bernardino |
author_sort |
Luis Lopes Chambino |
title |
Multispectral Facial Recognition: A Review |
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 |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2020-01-01 |
description |
Multispectral images are images with more than one channel acquired in different bands or spectral ranges of the electromagnetic spectrum. Each one has specific 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 benefit 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 Long Wavelength Infrared sub-bands. The public multispectral databases for facial analysis are identified, and a comparison is made, taking into consideration their specifications. The multispectral facial recognition methods are classified according to their basic working principle, from the traditional Fusion and Subspace methods to the more recent Deep Neural Networks. |
topic |
Face recognition multispectral image infrared image |
url |
https://ieeexplore.ieee.org/document/9257496/ |
work_keys_str_mv |
AT luislopeschambino multispectralfacialrecognitionareview AT josesilvestresilva multispectralfacialrecognitionareview AT alexandrebernardino multispectralfacialrecognitionareview |
_version_ |
1724182608552656896 |