Application of 3D Morphable Models to faces in video images

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    Abstract

    The 3D Morphable Face Model (3DMM) has been used for over a decade for creating 3D models from single images of faces. This model is based on a PCA model of the 3D shape and texture generated from a limited number of 3D scans. The goal of fitting a 3DMM to an image is to find the model coefficients, the lighting and other imaging variables from which we can remodel that image as accurately as possible. These coefficients can without further processing be used in verification and recognition experiments. In this paper, we investigate the potential benefits of using multiple images from the same person to fit a 3DMM. Lighting and imaging variables can differ from image to image, but the PCA coefficients will remain the same, assuming no change in expression between the images. We expect using multiple images could result in a more accurate fit.
    Original languageEnglish
    Title of host publication32nd WIC Symposium on Information Theory in the Benelux
    EditorsOlivier van den Biggelaar
    Place of PublicationBrussels
    PublisherWerkgemeenschap voor Informatie- en Communicatietheorie (WIC)
    Pages34-41
    Number of pages8
    ISBN (Print)978-9-08172-190-5
    Publication statusPublished - May 2011
    Event32nd WIC Symposium on Information Theory in the Benelux 2011 - Brussels, Belgium
    Duration: 10 May 201111 May 2011
    Conference number: 32

    Conference

    Conference32nd WIC Symposium on Information Theory in the Benelux 2011
    Country/TerritoryBelgium
    CityBrussels
    Period10/05/1111/05/11

    Keywords

    • METIS-277640
    • Morphable Models
    • Image Processing
    • EWI-20172
    • 3D reconstruction
    • IR-77273
    • SCS-Safety
    • Biometrics

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