Coding facial expressions with Gabor wavelets

Michael Lyons, Shigeru Akamatsu, Miyuki Kamachi, Jiro Gyoba

    研究成果: Conference contribution

    1441 被引用数 (Scopus)

    抄録

    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.

    本文言語English
    ホスト出版物のタイトルProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
    出版社IEEE Computer Society
    ページ200-205
    ページ数6
    ISBN(印刷版)0818683449, 9780818683442
    DOI
    出版ステータスPublished - 1998 1 1
    イベント3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara, Japan
    継続期間: 1998 4 141998 4 16

    出版物シリーズ

    名前Proceedings - 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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