Results 241 to 250 of about 385,180 (273)

Compound Micro-Expression Recognition System

2020 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), 2020
Micro-expressions are facial movements with subtle amplitude and short duration. Similar to normal expressions (i.e., macro-expressions), micro-expressions correspond to six basic emotional categories: happiness, sadness, surprise, fear, anger, and disgust. However, a large number of psychological studies show that people will produce and use many more
Yue Zhao, Jiancheng Xu
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CapsuleNet for Micro-Expression Recognition

2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 2019
Facial micro-expression recognition has attracted researchers in terms of its objectiveness to reveal the true emotion of a person. However, the limited number of publicly available datasets on micro-expression and its low intensity of facial movements have posed a great challenge to training robust data-driven models for recognition task.
Nguyen Van Quang, Jinhee Chun, Takeshi Tokuyama   +2 more
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A survey of micro-expression recognition

Image and Vision Computing, 2021
Abstract The limited capacity to recognize micro-expressions with subtle and rapid motion changes is a long-standing problem that presents a unique challenge for expression recognition systems and even for humans. The problem regarding micro-expression is less covered by research when compared to macro-expression.
Ling Zhou, Xiuyan Shao, Qirong Mao
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Facial Prior Guided Micro-Expression Generation

IEEE Transactions on Image Processing
This 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, Xinhua Xu, Youjun Zhao, Yuhang Wen, Zixuan Tang, Mengyuan Liu   +5 more
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A Neural Micro-Expression Recognizer

2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 2019
Recognizing micro-expressions underpins significant and critical research and significant application. We speculate that this problem requires the understanding of the subtle face movement, integration of face structures and a solution of limited training data.
Yuchi Liu, Heming Du, Liang Zheng, Tom Gedeon   +3 more
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SSIM Based Signature of Facial Micro-Expressions

2020
Facial 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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Effectiveness feature for micro-expression recognition

2021 IEEE 22nd International Conference on Information Reuse and Integration for Data Science (IRI), 2021
When an emotional state is involuntarily and spontaneously delivered with low intensity and short duration, micro expression (ME) occurs. Developing from psychological perspectives to computer vision standpoints, ME has obtained huge advancements and breakthroughs.
Trang Thanh Quynh Le, Manjeet Rege
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Micro-Expression Recognition using 3D - CNN

Fusion: Practice and Applications, 2020
Micro-expression comes under nonverbal communication, and for a matter of fact, it appears for minute fractions of a second. One cannot control micro-expression as it tells about our actual state emotionally, even if we try to hide or conceal our genuine emotions.
Vishal Dubey, Bhavya Takkar, Puneet Singh Lamba   +2 more
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SHCFNet on Micro-expression Recognition System

2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI), 2020
Micro expression is a facial feature that can reflect the most real emotional state hidden in the human heart. This is a very short process and difficult to capture accurately. Based convolutional network, a new network architecture (SHCFNet) is proposed to extract the spatial-temporal feature of peak frames, the optical flow between onset and apex ...
Jie Huang, XinRui Zhao, LIMing Zheng
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Micro-expressions: a survey

Multimedia Tools and Applications, 2023
Ankita Jain, Dhananjoy Bhakta
openaire   +1 more source