• DocumentCode
    2590410
  • Title

    A Simple Coupled Statistical Model for 3D Face Shape Recovery

  • Author

    Castelán, Mario ; Hancoc, Edwin R.

  • Author_Institution
    Dept. of Comput. Sci., York Univ.
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    231
  • Lastpage
    234
  • Abstract
    We focus on the problem of developing coupled statistical models that can be used to recover surface height from brightness images of faces. Our approach consists on using a simple model that assumes that the height eigenmodes are identical to the intensity eigenmodes. We recover the height function directly from the best-fit intensity parameters. As a result the computations involve only a straightforward matrix-vector multiplication. Experiments show that this method generate accurate height surfaces from out-of training intensity images
  • Keywords
    eigenvalues and eigenfunctions; face recognition; feature extraction; matrix multiplication; statistical analysis; stereo image processing; 3D face shape recovery; face brightness images; height eigenmodes; intensity eigenmodes; matrix-vector multiplication; statistical model; surface height recovery; Active shape model; Brightness; Computational modeling; Computer science; Covariance matrix; Head; Image representation; Mexico Council; Surface fitting; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.175
  • Filename
    1698875