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    Automatic Fitting of a Deformable Face Mask Using a Single Image

    133822_133882.pdf (1.798Mb)
    Access Status
    Open access
    Authors
    Kuhl, Annika
    Tan, Tele
    Venkatesh, Svetha
    Date
    2009
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Kuhl, Annika and Tan, Tele and Venkatesh, Svetha. 2009. Automatic Fitting of a Deformable Face Mask Using a Single Image, in Andr Gagalowicz, Wilfried Philips (ed), MIRAGE 2009, May 4 2009, pp. 69-81. Rocquencourt, France: Springer.
    Source Title
    Computer Vision/Computer Graphics Collaboration Techniques, 4th International Conference, MIRAGE 2009
    Source Conference
    MIRAGE 2009
    DOI
    10.1007/978-3-642-01811-4_7
    ISBN
    9783642018107
    Faculty
    School of Science and Computing
    Department of Computing
    Faculty of Science and Engineering
    Remarks

    The original publication is available at : http://www.springerlink.com

    URI
    http://hdl.handle.net/20.500.11937/16296
    Collection
    • Curtin Research Publications
    Abstract

    We propose an automatic method for person-independent fitting of a deformable 3D face mask model under varying illumination conditions. Principle Component Analysis is utilised to build a face model which is then used within a particle filter based approach to fit the mask to the image. By subdividing a coarse mask and using a novel texture mapping technique, we further apply the 3D face model to fit into lower resolution images. The illumination invariance is achieved by representing each face as a combination of harmonic images within the weighting function of the particle filter. We demonstrate the performance of our approach on the IMM Face Database and the Extended Yale Face Database and show that it out performs the Active Shape Models approach.

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