Mimicking the annotation process for recognizing the micro expressions
Micro-expression recognition (MER) has recently become a popular research topic due to its
wide applications, eg, movie rating and recognizing the neurological disorder. By virtue of …
wide applications, eg, movie rating and recognizing the neurological disorder. By virtue of …
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 …
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 …
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 …
Diagnosis of Covid-19 disease by combining hand-crafted and deep-learning methods on ultrasound data
Coronavirus 2019, or Covid-19, is an acute respiratory disease with high virus transmission
capacity that has led to high mortality rates worldwide. Although rapid diagnosis can play an …
capacity that has led to high mortality rates worldwide. Although rapid diagnosis can play an …
Automatic micro-expression recognition using LBP-SIPl and FR-CNN
Facial Expressions are one of the most effective ways for non-verbal communications, which
can be expressed as the Micro-Expression (ME) in the high-stake situations. The MEs are …
can be expressed as the Micro-Expression (ME) in the high-stake situations. The MEs are …
Micro-Expression Recognition Using the Spatiotemporal Feature Extraction and Deep-Learning Methods
Objective: The Micro-Expression (ME), which automatically reveals genuine human
emotions, has gained significant attention. Recognizing the ME is crucial for many real-time …
emotions, has gained significant attention. Recognizing the ME is crucial for many real-time …
Raw Bayer Pattern Image Synthesis on Histogram of Gradients for Pedestrian Detection
In recent days, there has been a vast implementation and emergency for many pedestrian
detection methods. In the current scenario, the complexity of pedestrian detection has …
detection methods. In the current scenario, the complexity of pedestrian detection has …
Applying Partial Differential Equations on Cubic Uniform Local Binary Pattern to Reveal Micro-Changes
Background and Objectives: The world we live in everyday, accompany with enormous
numbers of minute variations which affect us and our surroundings in several aspects …
numbers of minute variations which affect us and our surroundings in several aspects …