• DocumentCode
    3641095
  • Title

    Improvement of the curvature computation

  • Author

    V. Hlavac;T. Pajdla;M. Sommer

  • Author_Institution
    Dept. of Control Eng., Czechoslovak Acad. of Sci., Prague, Czech Republic
  • Volume
    1
  • fYear
    1994
  • Firstpage
    536
  • Abstract
    The improvement of computing the the curvature of the digitized curves is presented. The standard scheme, i.e. computing curvature using convolution with the truncated Gaussian kernel, was studied. First, we show that systematic bias caused by curvature smoothing can be removed. Second, we demonstrate that large portion of the error has roots in other phenomena (i.e. anisotropy of the raster, limited size of the Gaussian, numerical integration of the convolution, and discretization).
  • Keywords
    "Convolution","Kernel","Smoothing methods","Anisotropic magnetoresistance","Performance analysis","Control engineering","Filters","Equations","Error correction","Fourier transforms"
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 1 - Conference A: Computer Vision & Image Processing., Proceedings of the 12th IAPR International Conference on
  • Print_ISBN
    0-8186-6265-4
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.576349
  • Filename
    576349