Citation

Oh, Yee Hui (2016) Feature Extraction Techniques For Facial Micro-Expression Recognition. Masters thesis, Multimedia University.

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Abstract

Feature extraction techniques play a significant role in many computer vision tasks such as detection and recognition. To be able to effectively describe targets, a suitable feature extraction method has to be applied. In this research work, the main goal is to design or formulate the feature extraction techniques for facial micro-expression recognition. Subtle emotions possess distinct characteristics compared to the normal facial expressions in a few aspects: elapsed duration and motion intensity. For facial micro-expressions, they are subtle (i.e. less intensive or obvious facial motion changes) and short elapsed duration. Thus, to capture subtle emotions, the designed features have to be able to: (1) contain both spatial and temporal information and (2) preserve the locality information (as facial micro-expressions usually occur at one part of a face). This dissertation introduces three proposed spatio-temporal feature extraction techniques for facial micro-expression recognition based on videos.

Item Type:	Thesis (Masters)
Additional Information:	Call No.: TA1653 .O39 2016
Uncontrolled Keywords:	Human face recognition (Computer science)
Subjects:	T Technology > TA Engineering (General). Civil engineering (General) > TA1501-1820 Applied optics. Photonics
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	06 Jul 2018 13:04
Last Modified:	06 Jul 2018 13:04
URII:	http://shdl.mmu.edu.my/id/eprint/7169

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