Active appearance models

    Research output: Contribution to journalArticlepeer-review


    We describe a new method of matching statistical models of appearance to images. A set of model parameters control modes of shape and gray-level variation learned from a training set. We construct an efficient iterative matching algorithm by learning the relationship between perturbations in the model parameters and the induced image errors.
    Original languageEnglish
    Pages (from-to)681-685
    Number of pages4
    JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
    Issue number6
    Publication statusPublished - Jun 2001


    • Appearance models
    • Deformable templates
    • Model matching


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