A comprehensive survey on 3D face recognition methods
M Li, B Huang, G Tian - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Abstract 3D face recognition (3DFR) has emerged as an effective means of characterizing
facial identity over the past several decades. Depending on the types of techniques used in …
facial identity over the past several decades. Depending on the types of techniques used in …
3D face recognition: A comprehensive survey in 2022
In the past ten years, research on face recognition has shifted to using 3D facial surfaces, as
3D geometric information provides more discriminative features. This comprehensive survey …
3D geometric information provides more discriminative features. This comprehensive survey …
Efficient masked face recognition method during the covid-19 pandemic
W Hariri - Signal, image and video processing, 2022 - Springer
Abstract The coronavirus disease (COVID-19) is an unparalleled crisis leading to a huge
number of casualties and security problems. In order to reduce the spread of coronavirus …
number of casualties and security problems. In order to reduce the spread of coronavirus …
ARFace: attention-aware and regularization for face recognition with reinforcement learning
Different face regions have different contributions to recognition. Especially in the wild
environment, the difference of contributions will be further amplified due to a lot of …
environment, the difference of contributions will be further amplified due to a lot of …
A survey of local feature methods for 3D face recognition
One of the main modules in a face recognition system is feature extraction, which has a
significant effect on the whole system performance. In the past decades, various types of …
significant effect on the whole system performance. In the past decades, various types of …
3d face recognition: Two decades of progress and prospects
Three-dimensional (3D) face recognition has been extensively investigated in the last two
decades due to its wide range of applications in many areas, such as security and forensics …
decades due to its wide range of applications in many areas, such as security and forensics …
Adversarial learning for semi-supervised pediatric sleep staging with single-EEG channel
Y Li, C Peng, Y Zhang, Y Zhang, B Lo - Methods, 2022 - Elsevier
Despite the progress recently made towards automatic sleep staging for adults, children
have complicated sleep structures that require attention to the pediatric sleep staging. Semi …
have complicated sleep structures that require attention to the pediatric sleep staging. Semi …
A Comprehensive Review of Face Recognition Techniques, Trends and Challenges
Face Recognition (FR) is the technology used to identify and verify individuals based on
their facial features. In recent decades, FR plays a crucial role in various sectors, including …
their facial features. In recent decades, FR plays a crucial role in various sectors, including …
3D facial expression recognition using kernel methods on Riemannian manifold
Abstract Automatic human Facial Expressions Recognition (FER) is becoming of increased
interest. FER finds its applications in many emerging areas such as affective computing and …
interest. FER finds its applications in many emerging areas such as affective computing and …
Masked face recognition with mask transfer and self-attention under the COVID-19 pandemic
Face masks bring a new challenge to face recognition systems especially against the
background of the COVID-19 pandemic. In this paper, a method used for mitigating the …
background of the COVID-19 pandemic. In this paper, a method used for mitigating the …