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Authors: Benjamin Allaert ; Ioan Marius Bilasco and Chabane Djeraba

Affiliation: Univ. Lille, CNRS, Centrale Lille and UMR 9189, France

Keyword(s): Facial expression, Micro-expression, Optical Flow.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses

Abstract: A wide variety of face models have been used in the recognition of full or micro facial expressions in image sequences. However, the existing methods only address one family of expression at a time, as micro-expressions are quite different from full-expressions in terms of facial movement amplitude and/or texture changes. In this paper we address the detection of micro and full-expression with a common facial model characterizing facial movements by means of consistent Optical Flow estimation. Optical Flow extracted from the face is generally noisy and without specific processing it can hardly cope with expression recognition requirements especially for micro-expressions. Direction and magnitude statistical profiles are jointly analyzed in order to filter out noise and obtain and feed consistent Optical Flows in a face motion model framework. Experiments on CK+ and CASME2 facial expression databases for full and micro expression recognition show the benefits brought by the proposed a pproach in the filed of facial expression recognition. (More)

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Paper citation in several formats:
Allaert, B.; Bilasco, I. and Djeraba, C. (2017). Consistent Optical Flow Maps for Full and Micro Facial Expression Recognition. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP; ISBN 978-989-758-226-4; ISSN 2184-4321, SciTePress, pages 235-242. DOI: 10.5220/0006127402350242

@conference{visapp17,
author={Benjamin Allaert. and Ioan Marius Bilasco. and Chabane Djeraba.},
title={Consistent Optical Flow Maps for Full and Micro Facial Expression Recognition},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP},
year={2017},
pages={235-242},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006127402350242},
isbn={978-989-758-226-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 5: VISAPP
TI - Consistent Optical Flow Maps for Full and Micro Facial Expression Recognition
SN - 978-989-758-226-4
IS - 2184-4321
AU - Allaert, B.
AU - Bilasco, I.
AU - Djeraba, C.
PY - 2017
SP - 235
EP - 242
DO - 10.5220/0006127402350242
PB - SciTePress

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