Citation

Liong, Sze Teng and See, John Su Yang and Phan, Raphael Chung Wei and Wong, Kok Sheik and Tan, Su Wei (2018) Hybrid Facial Regions Extraction for Micro-expression Recognition System. Journal of Signal Processing Systems, 90 (4). pp. 601-617. ISSN 1939-8018

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Abstract

Micro-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 micro-expression detection and recognition system are still great challenges in the field of computer vision. In this paper, we present a novel hybrid facial region extraction framework that combines heuristic and automatic approaches to better recognize spontaneous micro-expressions. Salient facial regions are statistically determined based on the occurrence frequency of facial action units instead of holistic utilization of the entire facial area. The regions were automatically selected according to the facial landmark coordinates. We tested on two recent

Item Type:	Article
Uncontrolled Keywords:	Human face recognition (Computer science), Micro-expressions, Emotion, Region of interest, Optical strain, Recognition
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	10 Nov 2020 14:52
Last Modified:	10 Nov 2020 14:52
URII:	http://shdl.mmu.edu.my/id/eprint/7297

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