Determining correspondences for statistical models of facial appearance

K. N. Walker, T. F. Cootes, C. J. Taylor

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

    Abstract

    In order to build a statistical model of facial appearance we require a set of images, each with a consistent set of landmarks. We address the problem of automatically placing a set of landmarks to define the correspondences across an image set. We can estimate correspondences between any pair of images by locating salient points on one and finding their corresponding position in the second. However, we wish to determine a globally consistent set of correspondences across all the images. We present an iterative scheme in which these pairwise correspondences are used to determine a global correspondence across the entire set. We show results on several training sets, and demonstrate that an appearance model trained on the correspondences is of higher quality than one built from hand-marked images. © 2000 IEEE.
    Original languageEnglish
    Title of host publicationProceedings - 4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000|Proc. - IEEE Int. Conf. Autom. Face Gesture Recogn., FG
    PublisherIEEE Computer Society
    Pages271-276
    Number of pages5
    ISBN (Print)0769505805, 9780769505800
    DOIs
    Publication statusPublished - 2000
    Event4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000 - Grenoble
    Duration: 1 Jul 2000 → …

    Conference

    Conference4th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2000
    CityGrenoble
    Period1/07/00 → …

    Keywords

    • Peer Reviewed Conference

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