Building a 3-D Appearance Model of the Human Face

Karl Sjöstrand, Rasmus Larsen, Brian Lading

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    Abstract

    This paper describes a method for building an appearance model from three-dimensional data of human faces. The data consists of 3-D vertices, polygons and a texture map. The method uses a set of nine manually placed landmarks to automatically form a dense correspondence of thousands of points. This makes sure the model is able to capture the subtle details of a face. The model can be used for face segmentation and fully automated face registration.
    Original languageEnglish
    Title of host publicationDSAGM 2003, DIKU (Datalogisk Institut)
    Publication date2003
    Publication statusPublished - 2003
    EventDSAGM 2003, DIKU (Datalogisk Institut) -
    Duration: 1 Jan 2003 → …

    Conference

    ConferenceDSAGM 2003, DIKU (Datalogisk Institut)
    Period01/01/2003 → …

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