• DocumentCode
    2124005
  • Title

    The SVD approach for steerable filter design

  • Author

    Sommer, Gerald ; Michaelis, Markus ; Herpers, Rainer

  • Author_Institution
    Comput. Sci. Inst., Kiel Univ., Germany
  • Volume
    5
  • fYear
    1998
  • fDate
    31 May-3 Jun 1998
  • Firstpage
    349
  • Abstract
    The first processing step in computational early vision usually consists of convolutions with a number of kernels. These kernels often are derived from a mother kernel that is rotated, scaled, or deformed with respect to other degrees of freedom. This paper presents an efficient computational approach to calculate the responses of arbitrary mother kernels with arbitrary deformations. Analytical solutions to this problem in most cases are difficult or not possible. Therefore, a numerical approach that emphasizes an algebraical point of view is presented
  • Keywords
    computer vision; convolution; filtering theory; singular value decomposition; SVD; arbitrary deformations; computational early vision; convolutions; kernels; steerable filter design; Biomedical informatics; Computer applications; Computer science; Computer vision; Filtering; Filters; Image reconstruction; Interpolation; Kernel; Machine vision;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 1998. ISCAS '98. Proceedings of the 1998 IEEE International Symposium on
  • Conference_Location
    Monterey, CA
  • Print_ISBN
    0-7803-4455-3
  • Type

    conf

  • DOI
    10.1109/ISCAS.1998.694488
  • Filename
    694488