Coding facial expressions with Gabor wavelets

Michael Lyons, Shigeru Akamatsu, Miyuki Kamachi, Jiro Gyoba

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1411 Citations (Scopus)

    Abstract

    A method for extracting information about facial expressions from images is presented. Facial expression images are coded using a multi-orientation multi-resolution set of Gabor filters which are topographically ordered and aligned approximately with the face. The similarity space derived from this representation is compared with one derived from semantic ratings of the images by human observers. The results show that it is possible to construct a facial expression classifier with Gabor coding of the facial images as the input stage. The Gabor representation shows a significant degree of psychological plausibility, a design feature which may be important for human-computer interfaces.

    Original languageEnglish
    Title of host publicationProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
    PublisherIEEE Computer Society
    Pages200-205
    Number of pages6
    ISBN (Print)0818683449, 9780818683442
    DOIs
    Publication statusPublished - 1998 Jan 1
    Event3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara, Japan
    Duration: 1998 Apr 141998 Apr 16

    Publication series

    NameProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998

    Other

    Other3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
    CountryJapan
    CityNara
    Period98/4/1498/4/16

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

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