Results 51 to 60 of about 6,759,481 (296)
Micro-Expression Recognition Based on Optical Flow and PCANet+
Micro-expressions are rapid and subtle facial movements. Different from ordinary facial expressions in our daily life, micro-expressions are very difficult to detect and recognize.
Shiqi Wang +5 more
doaj +1 more source
Sparsity in Dynamics of Spontaneous Subtle Emotions: Analysis \& Application
Spontaneous subtle emotions are expressed through micro-expressions, which are tiny, sudden and short-lived dynamics of facial muscles; thus poses a great challenge for visual recognition.
Ngo, Anh Cat Le +2 more
core +1 more source
Analysis of emotion recognition through 2D micro-animations of an illustrated character's face
Emotions make up a large part of everyday communication. Humans learn to recognize emotions by observing others and by referencing their feelings with the emotions of other people.
Sinja Stres, Helena Gabrijelčič Tomc
doaj +1 more source
Deep Learning for Micro-Expression Recognition: A Survey
20 pages, 8 ...
Li, Yante +5 more
openaire +3 more sources
Demystifying Mental Health by Decoding Facial Action Unit Sequences
Mental health is indispensable for effective daily functioning and stress management. Facial expressions may provide vital clues about the mental state of a person as they are universally consistent across cultures.
Deepika Sharma +3 more
doaj +1 more source
OFF-ApexNet on micro-expression recognition system [PDF]
When a person attempts to conceal an emotion, the genuine emotion is manifest as a micro-expression. Exploration of automatic facial micro-expression recognition systems is relatively new in the computer vision domain. This is due to the difficulty in implementing optimal feature extraction methods to cope with the subtlety and brief motion ...
Y.S. Gan +4 more
openaire +3 more sources
Towards Reading Hidden Emotions: A comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods [PDF]
Micro-expressions (MEs) are rapid, involuntary facial expressions which reveal emotions that people do not intend to show. Studying MEs is valuable as recognizing them has many important applications, particularly in forensic science and psychotherapy ...
Hong, Xiaopeng +6 more
core +2 more sources
Micro-expression Recognition using Spatiotemporal Texture Map and Motion Magnification [PDF]
Micro-expressions are short-lived, rapid facial expressions that are exhibited by individuals when they are in high stakes situations. Studying these micro-expressions is important as these cannot be modified by an individual and hence offer us a peek ...
Pawar, Shashank Shivaji
core +1 more source
Shallow Triple Stream Three-dimensional CNN (STSTNet) for Micro-expression Recognition
In the recent year, state-of-the-art for facial micro-expression recognition have been significantly advanced by deep neural networks. The robustness of deep learning has yielded promising performance beyond that of traditional handcrafted approaches ...
Gan, Y. S. +4 more
core +1 more source

