Automatic face identification system using flexible appearance models

    Research output: Contribution to journalArticlepeer-review


    We describe the use of flexible models for representing the shape and grey-level appearance of human faces. These models are controlled by a small number of parameters which can be used to code the overall appearance of a face for image compression and classification purposes. The model parameters control both inter-class and within-class variation. Discriminant analysis techniques are employed to enhance the effect of those parameters affecting inter-class variation, which are useful for classification. We have performed experiments using face images which display considerable variability in 3D viewpoint, lighting and facial expression. We show that good face reconstructions can be obtained using 83 model parameters, and that high recognition rates can be achieved. © 1995.
    Original languageEnglish
    Pages (from-to)393-401
    Number of pages8
    JournalImage and Vision Computing
    Issue number5
    Publication statusPublished - Jun 1995


    • active shape models
    • face recognition
    • grey-level modelling
    • shape


    Dive into the research topics of 'Automatic face identification system using flexible appearance models'. Together they form a unique fingerprint.

    Cite this