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SSIM Based Signature of Facial Micro-Expressions
2020Facial microexpressions (MEs) play a crucial role in the non verbal communication. Their automatic detection and recognition on a real video is a topic of great interest in different fields. However, the main difficulty in automatically capturing this kind of feature consists in its rapid temporal evolution, i.e.
Vittoria Bruni, Domenico Vitulano
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A survey: facial micro-expression recognition
Multimedia Tools and Applications, 2017Facial expression recognition plays a crucial role in a wide range of applications of psychotherapy, security systems, marketing, commerce and much more. Detecting a macro-expression, which is a direct representation of an ‘emotion,’ is a relatively straight-forward task.
Madhumita Takalkar +3 more
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Micro-Expression Spotting Using Facial Landmarks
2019 IEEE 15th International Colloquium on Signal Processing & Its Applications (CSPA), 2019Micro-expressions (MEs) are brief involuntary facial expressions and it usually happens when people try to mask their emotions in high-stake situations. As a result, it is hard to detect the occurrence of a spontaneous MEs due to the limitation of human vision in spotting the brief and subtle change of facial expression. A MEs recognition system can be
Kai Xin Beh, Kam Meng Goh
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Facial Prior Guided Micro-Expression Generation
IEEE Transactions on Image ProcessingThis paper focuses on the facial micro-expression (FME) generation task, which has potential application in enlarging digital FME datasets, thereby alleviating the lack of training data with labels in existing micro-expression datasets. Despite obvious progress in the image animation task, FME generation remains challenging because existing image ...
Yi Zhang +5 more
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Facial Micro Expression Detection Using Deep Learning Architecture
2020 International Conference on Smart Electronics and Communication (ICOSEC), 2020Micro expressions are facial expressions that result as a response to repressed emotions in an involuntary manner that lasts for one-fifth of a second. The reading and interpretation of these expressions is of paramount importance to understand nonverbal human behaviors.
Srushti S Yadahalli +2 more
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Adaptive Mask for Region-based Facial Micro-Expression Recognition
2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020Facial micro-expression can be characterized by its short duration and subtle movements. In facial micro-expression recognition, these subtle movements require more specific feature descriptors due to only a few parts of the face produce information that helps us to recognize micro-expressions.
Walied Merghani, Moi Hoon Yap
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Hierarchical support vector machine for facial micro-expression recognition
Multimedia Tools and Applications, 2020The sample category distribution of spontaneous facial micro-expression datasets is unbalanced, due to the experimental environment, collection equipment, and individualization of subjects, which brings great challenges to micro-expression recognition.
Pan, Hang +4 more
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Inferring Emotional State from Facial Micro-Expressions
2022Personalized systems are becoming more and more popular in everyday life. Their goal is to adapt the output to the characteristics (i.e., interests and preferences) of the active user. To achieve this purpose, a process of inferring these characteristics is needed.
Aiuti A. +4 more
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