Locating salient facial features using image invariants

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

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

    Abstract

    We present a method, based on the idea of salient points, for locating corresponding features between two different faces independently of scale, orientation and position. Salient points are those which have a low probability of being mistaken with other points in the face, and therefore are more likely to be correctly located in a second face. The local image structure at each image point is described by vectors of Cartesian differential invariants computed at a range of scales. Salient points lie in low density regions of the distribution of all vectors of invariants found in an image. The vectors of invariants of salient points are used to locate similar features in a second image. Results are presented, showing that salient facial features can be relocated more reliably than arbitrary facial features. © 1998 IEEE.
    Original languageEnglish
    Title of host publicationProceedings - 3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998|Proc. - IEEE Int. Conf. Autom. Face Gesture Recogn., FG
    Place of PublicationJapan
    PublisherIEEE Computer Society
    Pages242-247
    Number of pages5
    ISBN (Print)0818683449, 9780818683442
    DOIs
    Publication statusPublished - 1998
    Event3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998 - Nara
    Duration: 1 Jul 1998 → …

    Conference

    Conference3rd IEEE International Conference on Automatic Face and Gesture Recognition, FG 1998
    CityNara
    Period1/07/98 → …

    Keywords

    • Peer Reviewed Conference

    Fingerprint

    Dive into the research topics of 'Locating salient facial features using image invariants'. Together they form a unique fingerprint.

    Cite this