• DocumentCode
    3013254
  • Title

    Generalized Thin-Plate SplineWarps

  • Author

    Bartoli, Adrien ; Perriollat, Mathieu ; Chambon, Sylvie

  • Author_Institution
    CNRS, Clermont-Ferrand
  • fYear
    2007
  • fDate
    17-22 June 2007
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Thin-plate spline warps have been shown to be very effective as a parameterized model of the optic flow field between images of various deforming surfaces. Examples include a sheet of paper being manually handled. Recent work has used such warps for images of smooth rigid surfaces. Standard thin-plate spline warps are not rigid, in the sense that they do not satisfy the epipolar geometry constraint, and are intrinsically affine, in the sense of the affine camera model. We propose three types of warps based on the thin-plate spline. The first one is a flexible rigid warp. It describes the optic flow field induced by a smooth rigid surface, and satisfies the affine epipolar geometry constraint. The second and third ones extend the standard thin-plate spline and the proposed rigid flexible warp to the perspective camera model. The properties of these warps are studied in details, and a hierarchy is defined. Experimental results on simulated and real data are reported, showing that the proposed warps outperform the standard one in several cases of interest.
  • Keywords
    computer vision; image sequences; splines (mathematics); computer vision; deforming surfaces; epipolar geometry constraint; flexible rigid warp; generalized thin-plate spline warps; optic flow field; parameterized model; perspective camera model; smooth rigid surface; Cameras; Deformable models; Geometrical optics; Image motion analysis; Layout; Optical sensors; Shape; Solid modeling; Spline; Uninterruptible power systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on
  • Conference_Location
    Minneapolis, MN
  • ISSN
    1063-6919
  • Print_ISBN
    1-4244-1179-3
  • Electronic_ISBN
    1063-6919
  • Type

    conf

  • DOI
    10.1109/CVPR.2007.382998
  • Filename
    4270023