A survey of micro-expression recognition methods based on lbp, optical flow and deep learning
Micro-expressions typically reflect suppressed feelings and they can provide an accurate
indication of the real feelings and motivations of a person. Accordingly, they have been used …
indication of the real feelings and motivations of a person. Accordingly, they have been used …
Facial micro emotion detection and classification using swarm intelligence based modified convolutional network
AN Arun, P Maheswaravenkatesh… - Expert Systems with …, 2023 - Elsevier
Emotions are what makes us humans. Recognizing human emotions from facial micro
expression features help us learn the true emotional state of a person. This technique of …
expression features help us learn the true emotional state of a person. This technique of …
A review of micro-expression spotting: methods and challenges
H Zhang, L Yin, H Zhang - Multimedia Systems, 2023 - Springer
Micro-expression (ME) can reflect a person's authentic internal thoughts and thus have
significant research value in many fields. With the continuous development of computer …
significant research value in many fields. With the continuous development of computer …
Facial micro-expression recognition using three-stream vision transformer network with sparse sampling and relabeling
H Zhang, L Yin, H Zhang, X Wu - Signal, Image and Video Processing, 2024 - Springer
Most existing micro-expression recognition (MER) methods are based on convolutional
neural networks (CNN) and could obtain better representations than conventional …
neural networks (CNN) and could obtain better representations than conventional …
Spotting micro‐movements in image sequence by introducing intelligent cubic‐LBP
Invisible to naked human eyes, micro‐movements are barely noticeable. There are wide
ranges of micro‐movement applications from spotting subtle changes in a volcano, vascular …
ranges of micro‐movement applications from spotting subtle changes in a volcano, vascular …
Multi-source transfer learning for facial emotion recognition using multivariate correlation analysis
Deep learning techniques have proven to be effective in solving the facial emotion
recognition (FER) problem. However, it demands a significant amount of supervision data …
recognition (FER) problem. However, it demands a significant amount of supervision data …
COVID-19 Diagnosis: ULGFBP-ResNet51 approach on the CT and the Chest X-ray Images Classification
The contagious and pandemic COVID-19 disease is currently considered as the main health
concern and posed widespread panic across human-beings. It affects the human respiratory …
concern and posed widespread panic across human-beings. It affects the human respiratory …
AutoMEDSys: automatic facial micro-expression detection system using random fourier features based neural network
This research presents an Automatic Micro-Expression Detection System (AutoMEDSys) to
address the challenge of detecting subtle, involuntary facial expressions known as Micro …
address the challenge of detecting subtle, involuntary facial expressions known as Micro …
COVID-19 Diagnosis: ULBPFP-Net Approach on Lung Ultrasound Data.
The coronavirus disease or COVID-19, as a global disease, is an unprecedented health
care crisis due to increasing mortality and its high rate of infection. Patients usually show …
care crisis due to increasing mortality and its high rate of infection. Patients usually show …
Real-time Client Authentication in Cyberspace using the GLBPD and Three-stream 3D-CNNs with the LSTM
Iris is the most accurate biometrics for authentication in cyberspace. Since it is unavailable
for other persons, it creates more dependability to maintain national security. Also, it remains …
for other persons, it creates more dependability to maintain national security. Also, it remains …