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Recognizing Fine Facial Micro-Expressions Using Two-Dimensional Landmark Feature

International Conference on Information Photonics, 2018
Emotion recognition based on facial expressions is very important for interaction between human and artificial intelligence (AI) system such as social robots.
D. Choi, Dae Ha Kim, B. Song
semanticscholar   +1 more source

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   +5 more
openaire   +2 more sources

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   +3 more
openaire   +1 more source

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
openaire   +1 more source

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
openaire   +1 more source

The Ingroup Disadvantage in the Recognition of Micro-Expressions

IEEE International Conference on Automatic Face & Gesture Recognition, 2019
Micro-expressions, as fleeting facial expressions which last no longer than 0.5 s, are of great application potentials in the fields of security, national defense and medical treatment.
Yanni Xie   +3 more
semanticscholar   +1 more source

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   +2 more
openaire   +1 more source

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
openaire   +1 more source

Motion descriptors for micro-expression recognition

Signal Processing: Image Communication, 2018
Abstract Micro-expression analysis is an interesting and challenging task in computer vision. It has inspired a series of possible applications in many areas such as police–criminal interrogation and important business negotiation. One of the most crucial step in a micro-expression recognition system is the extraction of well discriminating features.
Lu, H., Kpalma, K., Ronsin, J.
openaire   +3 more sources

Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021
Xianye Ben   +2 more
exaly  

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