• DocumentCode
    3173040
  • Title

    Constructing invariant features by averaging techniques

  • Author

    Schulz-Mirbach, Hanns

  • Author_Institution
    Inst. fur Tech. Inf., Tech. Univ. Hamburg-Harburg, Germany
  • Volume
    2
  • fYear
    1994
  • fDate
    9-13 Oct 1994
  • Firstpage
    387
  • Abstract
    The paper presents algorithms for the construction of features which are invariant with respect to a given transformation group. The methods are based on integral calculus and are applicable to parametric groups (Lie groups) and finite groups as well. To illustrate the concepts the author discusses in detail how to construct invariant features for the general linear group which is of importance in computer vision applications. The author briefly mentions how to combine the algorithms with Hilbert space techniques for the description of continuous signals. Finally the author applies the presented methods to establish the existence of complete feature sets for arbitrary compact groups
  • Keywords
    computer vision; Hilbert space techniques; Lie groups; averaging techniques; computer vision; continuous signals; general linear group; integral calculus; invariant features; parametric groups; Application software; Calculus; Computer vision; Convergence; Hilbert space; Orbital calculations; Orbits;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1994. Vol. 2 - Conference B: Computer Vision & Image Processing., Proceedings of the 12th IAPR International. Conference on
  • Conference_Location
    Jerusalem
  • Print_ISBN
    0-8186-6270-0
  • Type

    conf

  • DOI
    10.1109/ICPR.1994.576950
  • Filename
    576950