Head pose determination from one image using a generic model

Ikuko Shimizu, Zhengyou Zhang, Shigeru Akamatsu, Koichiro Deguchi

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

    24 Citations (Scopus)

    Abstract

    We present a new method for determining the pose of a human head from its 2D image. It does not use any artificial markers put on a face. The basic idea is to use a generic model of a human head, which accounts for variation in shape and facial expression. Particularly, a set of 3D curves are used to model the contours of eyes, lips and eyebrows. A technique called iterative closest curve matching (ICC) is proposed, which aims at recovering the pose by iteratively minimizing the distances between the projected model curves and their closest image curves. Because curves contain richer information (such as curvature and length) than points, ICC is both more robust and more efficient than the well-known iterative closest point matching techniques (ICP). Furthermore, the image can be taken by a camera with unknown internal parameters, which can be recovered by our technique thanks to the 3D model. Preliminary experiments show that the proposed technique is promising and that an accurate pose estimate can be obtained from just one image with a generic head model.

    Original languageEnglish
    Title of host publicationProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
    PublisherIEEE Computer Society
    Pages100-105
    Number of pages6
    ISBN (Print)0818683449, 9780818683442
    DOIs
    Publication statusPublished - 1998
    Event3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara, Japan
    Duration: 1998 Apr 141998 Apr 16

    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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