Statistical models of face images - Improving specificity

G. J. Edwards, A. Lanitis, C. J. Taylor, T. F. Cootes

    Research output: Contribution to journalArticlepeer-review


    Model-based approaches to the interpretation of face images have proved very successful. We have previously described statistically based models of face shape and grey-level appearance and shown how they can be used to perform various coding and interpretation tasks. In the paper we describe improved methods of modelling which couple shape and grey-level information more directly than our existing methods, isolate the changes in appearance due to different sources of variability (person, expression, pose, lighting) and deal with non-linear shape variation. We show that the new methods are better suited to interpretation and tracking tasks. © 1998 Elsevier Science B.V.
    Original languageEnglish
    Pages (from-to)203-211
    Number of pages8
    JournalImage and Vision Computing
    Issue number3
    Publication statusPublished - 16 Mar 1998


    • Face image interpretation
    • Model-based approach


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