Intrinsic two-dimensional local structures for micro-expression recognition
dc.contributor.author | Oh, Y. | |
dc.contributor.author | Le Ngo, A. | |
dc.contributor.author | Phari, R. | |
dc.contributor.author | See, J. | |
dc.contributor.author | Ling, Huo Chong | |
dc.date.accessioned | 2017-01-30T15:35:12Z | |
dc.date.available | 2017-01-30T15:35:12Z | |
dc.date.created | 2016-06-28T19:30:14Z | |
dc.date.issued | 2016 | |
dc.identifier.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. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/47726 | |
dc.identifier.doi | 10.1109/ICASSP.2016.7471997 | |
dc.description.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. | |
dc.title | Intrinsic two-dimensional local structures for micro-expression recognition | |
dc.type | Conference Paper | |
dcterms.source.volume | 2016-May | |
dcterms.source.startPage | 1851 | |
dcterms.source.endPage | 1855 | |
dcterms.source.title | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | |
dcterms.source.series | ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings | |
dcterms.source.isbn | 9781479999880 | |
curtin.department | Curtin Sarawak | |
curtin.accessStatus | Fulltext not available |
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