Intrinsic two-dimensional local structures for micro-expression recognition


Oh, Yee Hui and Le Ngo, Anh Cat and Phan, Raphael C.-W. and See, John Su Yang and Ling, Huo Chong (2016) Intrinsic two-dimensional local structures for micro-expression recognition. In: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE Xplore, pp. 1851-1855.

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An elapsed facial emotion involves changes of facial contour due to the motions (such as contraction or stretch) of facial muscles located at the eyes, nose, lips and etc. Thus, the important information such as corners of facial contours that are located in various regions of the face are crucial to the recognition of facial expressions, and even more apparent for micro-expressions. In this paper, we propose the first known notion of employing intrinsic two-dimensional (i2D) local structures to represent these features for micro-expression recognition. To retrieve i2D local structures such as phase and orientation, higher order Riesz transforms are employed by means of monogenic curvature tensors. Experiments performed on micro-expression datasets show the effectiveness of i2D local structures in recognizing micro-expressions.

Item Type: Book Section
Uncontrolled Keywords: Higher order Riesz transform, Emotion, micro-expressions, i2D
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Computing and Informatics (FCI)
Faculty of Engineering (FOE)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 06 Feb 2017 04:46
Last Modified: 06 Feb 2017 04:46


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