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    Generating a Mapping Function from One Expression to Another Using a Statistical Model of Facial Texture


    Ghent, John and McDonald, John (2003) Generating a Mapping Function from One Expression to Another Using a Statistical Model of Facial Texture. In: Irish Machine Vision & Image Processing Conference 2003, September 3-5, 2003, School of Computing and Information Engineering, University of Ulster, Coleraine.

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    Abstract

    We demonstrate a novel method of generating a mapping function which takes an image of a neutral face to an image of the same subject depicting an alternative expression. It is proposed that this mapping function can be used to automatically generate facial expressions from still images of never seen before faces. This technique draws on the work of Ekman's [8] Facial Action Coding System (FACS), which provides an anatomical basis for measuring facial movement. We use the FACS to generate a Facial Expression Texture Model (FETM), which is used in conjunction with several Artificial Neural Networks (ANN) to develop a mapping function. We describe this method in detail and provide results which demonstrate the effectiveness of this technique.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Facial expression synthesis; Facial Expression Texture Model (FETM); Facial Action Coding System (FACS); function approximation;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 8266
    Depositing User: John McDonald
    Date Deposited: 31 May 2017 15:02
    Refereed: Yes
    URI:

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