• DocumentCode
    3073372
  • Title

    Estimation of the second order spatio-temporal derivatives of deforming image curves

  • Author

    Papadopoulo, T. ; Faugeras, O.

  • Author_Institution
    Inst. Nat. de Recherche en Inf. et Autom., Sophia Antipolis, France
  • Volume
    1
  • fYear
    1994
  • fDate
    9-13 Oct 1994
  • Firstpage
    179
  • Abstract
    This paper intends to show that the second order spatio-temporal derivatives of de-forming image curves can be computed quite accurately from image sequences. These quantities, related to the second order optical flow parameters, are useful in the computation of the motion and the structure of a 3-D rigid curve from monocular image sequences. We show that they can be estimated directly from the points of the spatio-temporal surface generated by the image curve using polynomial approximation, and that the accuracy is at least comparable and often much better than that obtained using the other standard techniques. We consider particularly the special case of curvature because the estimation of that quantity has been studied before and show the results obtained using different methods. We then propose a “pseudo scale-space” method that should improve further the accuracy of the results
  • Keywords
    image processing; 3D rigid curve; curvature estimation; deforming image curves; image sequences; monocular image sequences; motion computation; polynomial approximation; pseudo scale-space method; second-order optical flow parameters; second-order spatio-temporal derivatives estimation; spatio-temporal surface; structure computation; Acceleration; Computer vision; Contracts; Detectors; Image edge detection; Image generation; Image motion analysis; Image sequences; Polynomials; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-8186-6265-4
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.576253
  • Filename
    576253