Deep learning for micro-expression recognition: A survey
Micro-expressions (MEs) are involuntary facial movements revealing people's hidden
feelings in high-stake situations and have practical importance in various fields. Early …
feelings in high-stake situations and have practical importance in various fields. Early …
An overview of facial micro-expression analysis: Data, methodology and challenge
Facial micro-expressions indicate brief and subtle facial movements that appear during
emotional communication. In comparison to macro-expressions, micro-expressions are …
emotional communication. In comparison to macro-expressions, micro-expressions are …
Learning features from covariance matrix of gabor wavelet for face recognition under adverse conditions
C Li, Y Huang, W Huang, F Qin - Pattern Recognition, 2021 - Elsevier
Face recognition under adverse conditions, such as low-resolution, difficult illumination, blur
and noise remains a challenging task. Among existing face recognition methods, Gabor …
and noise remains a challenging task. Among existing face recognition methods, Gabor …
On construction of transfer learning for facial symmetry assessment before and after orthognathic surgery
Orthognathic surgery (OGS) is frequently used to correct facial deformities associated with
skeletal malocclusion and facial asymmetry. An accurate evaluation of facial symmetry is a …
skeletal malocclusion and facial asymmetry. An accurate evaluation of facial symmetry is a …
Robust human face emotion classification using triplet-loss-based deep CNN features and SVM
Human facial emotion detection is one of the challenging tasks in computer vision. Owing to
high inter-class variance, it is hard for machine learning models to predict facial emotions …
high inter-class variance, it is hard for machine learning models to predict facial emotions …
A hybrid LBP-DCNN based feature extraction method in YOLO: An application for masked face and social distance detection
COVID-19 is an ongoing pandemic and the WHO recommends at least one-meter social
distance, and the use of medical face masks to slow the disease's transmission. This paper …
distance, and the use of medical face masks to slow the disease's transmission. This paper …
Lwkpca: A new robust method for face recognition under adverse conditions
Over the last two decades, face recognition (FR) has become one of the most prevailing
biometric applications for effective people identification as it offers practical advantages over …
biometric applications for effective people identification as it offers practical advantages over …
An accurate recognition of facial expression by extended wavelet deep convolutional neural network
Facial expressions are essential in community based interactions and in the analysis of
emotions behaviour. The automatic identification of face is a motivating topic for the …
emotions behaviour. The automatic identification of face is a motivating topic for the …
[HTML][HTML] Surface defect detection of Si3N4 ceramic bearing ball based on improved homomorphic filter-gaussian filter coupling algorithm
D Liao, Z Cui, J Li, W Li, W Wang - AIP Advances, 2022 - pubs.aip.org
Considering the tiny surface defects of Si 3 N 4 ceramic bearing balls and the low accuracy
of defect detection using a single traditional algorithm, we find that the performance of the …
of defect detection using a single traditional algorithm, we find that the performance of the …
Adaptive increasing-margin adversarial neural iterative system based on facial expression recognition feature models
R Vedantham - Multimedia Tools and Applications, 2022 - Springer
Face expression recognition has been proved as a challenging task in image processing.
Many related works on facial expression recognition had done but they faced several …
Many related works on facial expression recognition had done but they faced several …