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Facial Micro-Expression Recognition Using Quaternion-Based Sparse Representation
2020 29th International Conference on Computer Communications and Networks (ICCCN), 2020Facial micro-expressions are characterized by their extremely short duration and low intensity, can provide an important basis for judging people’s emotions, and therefore have promising potential applications in numerous fields. This paper puts forward a novel method for recognizing micro-expressions by using a quaternion-based sparse representation ...
Hang Yang +4 more
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Spontaneous facial micro-expression detection based on deep learning
2016 IEEE 13th International Conference on Signal Processing (ICSP), 2016Facial micro-expression refers to split-second muscle changes in the face, indicating that a person is either consciously or unconsciously suppressing their true emotions. Although these expressions are constantly occurring on people faces, they were easily ignored by people with the eye blinking. That is to say, most people don't notice them and it is
Xiaohong Li, Jun Yu, Shu Zhan
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An Improved DCNN Based Facial Micro-expression Recognition System
2021Recently, researchers focused their attention towards recognition of micro-expression due to real-time application of micro-expression recognition in human behavior understanding, as it indicates whether a person is knowingly or unknowingly manipulating their exact emotion and mental state.
Divya Garg, Gyanendra K. Verma
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Dual-stream Shallow Networks for Facial Micro-expression Recognition
2019 IEEE International Conference on Image Processing (ICIP), 2019Micro-expressions are spontaneous, brief and subtle facial muscle movements that exposes underlying emotions. Motivated by recent exploits into deep learning for micro-expression analysis, we propose a lightweight dual-stream shallow network in the form of a pair of truncated CNNs with heterogeneous input features.
Huai-Qian Khor +4 more
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Study of Facial Micro-expressions in Psychology
2014The study of micro-expressions has undergone a big change as a result of contemporary development in the areas of human–computer interaction (HCI) and affective computing. This chapter will highlight the need for the study of micro-expressions. It would focus on two major approaches to evolve parameters for the automatic detection of human facial ...
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Hybrid Facial Regions Extraction for Micro-expression Recognition System
Journal of Signal Processing Systems, 2017Micro-expressions can occur when a person attempts to conceal and suppress his true feelings and emotions, both deliberately or unconsciously.In recent years, facial micro-expression analysis has received tremendous attention in the field of psychology, media and computer vision. However, due to its subtlety and brief duration, development of automated
Liong, Sze Teng +4 more
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Facial micro-expression recognition using discrete curvelet transform
2017 Conference on Information and Communication Technology (CICT), 2017Micro-expression recognition is an active research domain due to promising applications ranges from lie detection to reveals genuine emotions. Micro-expression recognition is a challenging task due to repressed facial appearance and subtle nature of emotion.
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Facial Micro-expression Recognition with Adaptive Video Motion Magnification
2020Facial micro-expression commonly has an extremely short duration and subtle motion. At the same time, the micro-expression databases are rarely available for research. These are not conducive to directly introduce the deep neural network which is currently outstanding in the field of image recognition into facial micro-expression recognition. Recently,
Zhilin Lei, Shenghong Li
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Effective DemeapexNet: Revealing Spontaneous Facial Micro-Expressions
2022 The 6th International Conference on Compute and Data Analysis, 2022Md Sajjatul Islam +4 more
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Facial Micro-Expression Recognition (FMER) using Model Compression
2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), 2022Nikhil Singh, Rajiv Kapoor
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