A system for feature extraction and recognition of lip postures is presented, by constructing a shape model of the inner and outer contours of the lips, whose parameters are controlled by a canonical genetic algorithm. Features of each posture are the model parameters which better fit to the the analyzed image. A Bayesian Classifier is used to classify, under the assumption that there is equiprobability between the classes, obtaining results up to 82,4% of accurate classification.


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    Titel :

    Variational Shape Model for Lip Postures Recognition Using GA


    Beteiligte:
    Jaramillo, J. (Autor:in) / Orozco, M. (Autor:in) / Castellanos, G. (Autor:in) / Riano, J. (Autor:in)


    Erscheinungsdatum :

    2006-09-01


    Format / Umfang :

    229211 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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