• DocumentCode
    3117014
  • Title

    Probabilistic motion sequence generation

  • Author

    Sattler, Mirko ; Sarlette, Ralf ; Klein, Reinhard

  • Author_Institution
    Inst. of Comput. Sci. II, Bonn Univ.
  • fYear
    2004
  • fDate
    19-19 June 2004
  • Firstpage
    514
  • Lastpage
    517
  • Abstract
    Creating long animation sequences with nontrivial repetitions is a time consuming and often difficult task. This is true for 2D images and even more true for 3D sequences. Based upon the idea of video textures we propose a simple algorithm to create new user controlled animation sequences based only on a few key frames by the analysis of velocity and position coherence. The simplicity of the method is achieved by carrying out the calculations on the main principal components of the reference animation, hence reducing the dimensionality of the input data. This also leads to significant compression. Smooth animations are ensured, using one of the proposed blending schemes
  • Keywords
    computer animation; image motion analysis; image reconstruction; image sequences; image texture; principal component analysis; probability; 2D image sequences; 3D image sequences; animation sequences; image compression; principal component analysis; probabilistic motion sequence generation; video texture; Algorithm design and analysis; Animation; Avatars; Humans; Image sequences; Information geometry; Motion analysis; Motion control; Principal component analysis; Reflection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Graphics International, 2004. Proceedings
  • Conference_Location
    Crete
  • ISSN
    1530-1052
  • Print_ISBN
    0-7695-2171-1
  • Type

    conf

  • DOI
    10.1109/CGI.2004.1309256
  • Filename
    1309256