• DocumentCode
    2714665
  • Title

    General trajectory prior for Non-Rigid reconstruction

  • Author

    Valmadre, Jack ; Lucey, Simon

  • Author_Institution
    Queensland Univ. of Technol., Brisbane, QLD, Australia
  • fYear
    2012
  • fDate
    16-21 June 2012
  • Firstpage
    1394
  • Lastpage
    1401
  • Abstract
    Trajectory basis Non-Rigid Structure From Motion (NRSFM) currently faces two problems: the limit of reconstructability and the need to tune the basis size for different sequences. This paper provides a novel theoretical bound on 3D reconstruction error, arguing that the existing definition of reconstructability is fundamentally flawed in that it fails to consider system condition. This insight motivates a novel strategy whereby the trajectory´s response to a set of high-pass filters is minimised. The new approach eliminates the need to tune the basis size and is more efficient for long sequences. Additionally, the truncated DCT basis is shown to have a dual interpretation as a high-pass filter. The success of trajectory filter reconstruction is demonstrated quantitatively on synthetic projections of real motion capture sequences and qualitatively on real image sequences.
  • Keywords
    discrete cosine transforms; high-pass filters; image motion analysis; image reconstruction; image sequences; video signal processing; 3D reconstruction error; general trajectory; high-pass filters; image sequences; motion capture sequences; nonrigid structure from motion; reconstructability limit; trajectory filter reconstruction; truncated DCT basis; Cameras; Discrete cosine transforms; Encoding; Equations; Image reconstruction; Shape; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4673-1226-4
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2012.6247826
  • Filename
    6247826