• DocumentCode
    2009489
  • Title

    Recovery of contour deformation using steerable filters

  • Author

    Hsu, P. Robert ; Harashima, H.

  • Author_Institution
    Dept. of Electr. Eng., Tokyo Univ., Japan
  • fYear
    1991
  • fDate
    14-17 Apr 1991
  • Firstpage
    2385
  • Abstract
    A motion-based approach is presented to recovering the nonrigid deformation of free-form curved objects. Protrusions and indentations of contours are typically the results of altering curvature structure along the symmetry axes. The recovery task is formulated as a search for a set of lines of curvature on the spatiotemporal surface. These lines of curvature correspond to the tracings of curvature extrema of the plane contour as it is drawn across the time axis. Three-dimensional steerable filters are developed to compute the lines of curvature. The filters analyze the gradient of Gaussian curvature, remove noise by angularly adaptive filtering, and select the dominant orientation direction of the lines of curvature
  • Keywords
    adaptive filters; filtering and prediction theory; picture processing; 3D steerable filters; angularly adaptive filtering; contour deformation recovery; free-form curved objects; gradient of Gaussian curvature; motion-based approach; Adaptive filters; Gaussian noise; Image analysis; Image motion analysis; Image segmentation; Motion analysis; Noise shaping; Object recognition; Shape; Spatiotemporal phenomena;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., 1991 International Conference on
  • Conference_Location
    Toronto, Ont.
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-0003-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1991.150872
  • Filename
    150872