Title: Facial expression recognition using salient facial patches
Authors: Mliki, Hazar
Hammami, Mohamed
Citation: WSCG '2016: short communications proceedings: The 24th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2016 in co-operation with EUROGRAPHICS: University of West Bohemia, Plzen, Czech RepublicMay 30 - June 3 2016, p. 309-316.
Issue Date: 2016
Publisher: Václav Skala - UNION Agency
Document type: konferenční příspěvek
URI: wscg.zcu.cz/WSCG2016/!!_CSRN-2602.pdf
ISBN: 978-80-86943-58-9
ISSN: 2464-4617
Keywords: strojní vidění;rozpoznávání výrazu obličeje;vzájemné informace;LBP
Keywords in different language: machine vision;facial expression recognition;mutual information;LBP
Abstract: This paper proposes a novel facial expression recognition method composed of two main steps: offline step and online step. The offline step selects the most salient facial patches using mutual information technique. The online step relies on the already selected patches to identify the facial expression using an SVM classifier. In both steps, the LBP operator was used to extract facial expressions features. Through an extensive experiments on the JAFFE and KANADE databases, we have shown that our method, thanks to the salient selected patches, has the advantage of being much faster with a significant gain in recognition performance.
Rights: © Václav Skala - UNION Agency
Appears in Collections:WSCG '2016: Short Papers Proceedings

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Please use this identifier to cite or link to this item: http://hdl.handle.net/11025/29718

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