Multispectral facial recognition: a review
LL Chambino, JS Silva, A Bernardino - IEEE Access, 2020 - ieeexplore.ieee.org
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 …
spectral ranges of the electromagnetic spectrum. Each one has specific details that can be …
Dual face alignment learning network for NIR-VIS face recognition
As the most important topic in Heterogeneous Face Recognition (HFR), Near-InfraRed and
VISual (NIR-VIS) face recognition has attracted increasing research attentions owing to its …
VISual (NIR-VIS) face recognition has attracted increasing research attentions owing to its …
A survey of face recognition based on convolutional neural network
RE Saragih, QH To - Indonesian Journal of Information Systems, 2022 - ojs.uajy.ac.id
Face recognition is one of the interesting research topics in the field of computer vision. In
recent years, deep learning methods, especially the Convolutional Neural Network, have …
recent years, deep learning methods, especially the Convolutional Neural Network, have …
Dual adversarial disentanglement and deep representation decorrelation for NIR-VIS face recognition
The task of near-infrared and visual (NIR-VIS) face recognition refers to matching face data
from different modalities, which has broad application prospects in areas such as multimedia …
from different modalities, which has broad application prospects in areas such as multimedia …
Adversarial disentanglement spectrum variations and cross-modality attention networks for NIR-VIS face recognition
Near-infrared and visual (NIR-VIS) matching task refers to the face recognition between the
two images of different modalities, which remains a challenging task in the field of machine …
two images of different modalities, which remains a challenging task in the field of machine …
Multispectral facial recognition in the wild
P Martins, JS Silva, A Bernardino - Sensors, 2022 - mdpi.com
This work proposes a multi-spectral face recognition system in an uncontrolled environment,
aiming to identify or authenticate identities (people) through their facial images. Face …
aiming to identify or authenticate identities (people) through their facial images. Face …
Convolutional Neural Networks for Face Recognition: A Systematic Literature Review
This paper presents a comprehensive overview of Convolutional Neural Networks (CNNs) in
the context of face recognition. By analyzing 150 research papers, we investigate major …
the context of face recognition. By analyzing 150 research papers, we investigate major …
Beyond the visible: A survey on cross-spectral face recognition
Cross-spectral face recognition (CFR) refers to recognizing individuals using face images
stemming from different spectral bands, such as infrared versus visible. While CFR is …
stemming from different spectral bands, such as infrared versus visible. While CFR is …
Multispectral face recognition using transfer learning with adaptation of domain specific units
LL Chambino, JS Silva, A Bernardino - Sensors, 2021 - mdpi.com
Facial recognition is a method of identifying or authenticating the identity of people through
their faces. Nowadays, facial recognition systems that use multispectral images achieve …
their faces. Nowadays, facial recognition systems that use multispectral images achieve …
Heterogeneous visible-thermal and visible-infrared face recognition using unit-class loss and cross-modality discriminator
Visible-to-thermal face image matching is a challenging variate of cross-modality
recognition. The challenge lies in the large modality gap and low correlation between visible …
recognition. The challenge lies in the large modality gap and low correlation between visible …