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    Intrinsic two-dimensional local structures for micro-expression recognition

    Access Status
    Fulltext not available
    Authors
    Oh, Y.
    Le Ngo, A.
    Phari, R.
    See, J.
    Ling, Huo Chong
    Date
    2016
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Oh, Y. and Le Ngo, A. and Phari, R. and See, J. and Ling, H.C. 2016. Intrinsic two-dimensional local structures for micro-expression recognition, in Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar 20-25 2016, pp. 1851-1855. Shanghai: IEEE.
    Source Title
    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    DOI
    10.1109/ICASSP.2016.7471997
    ISBN
    9781479999880
    School
    Curtin Sarawak
    URI
    http://hdl.handle.net/20.500.11937/47726
    Collection
    • Curtin Research Publications
    Abstract

    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.

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