Locating faces using statistical feature detectors

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

    Abstract

    We describe a method of locating hypotheses for the positions of faces in an image. We use statistical feature detectors to locate candidates for features, then use a statistical model of the shape and orientation of the features to test combinations of such features to find the most plausible. The best sets can be used as the initial position of an Active Shape Model, which can then accurately locate the full face.
    Original languageEnglish
    Title of host publicationProceedings of the International Conference on Automatic Face and Gesture Recognition|Proc Int Conf Autom Face Gest Recogn
    Place of PublicationLos Alamitos, CA, United States
    PublisherIEEE
    Pages204-209
    Number of pages5
    Publication statusPublished - 1996
    EventProceedings of the 1996 2nd International Conference on Automatic Face and Gesture Recognition - Killington, VT, USA
    Duration: 1 Jul 1996 → …
    http://Requested 28 Mar 02

    Conference

    ConferenceProceedings of the 1996 2nd International Conference on Automatic Face and Gesture Recognition
    CityKillington, VT, USA
    Period1/07/96 → …
    Internet address

    Keywords

    • Peer Reviewed Conference

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