• DocumentCode
    3207484
  • Title

    Towards a general framework for feature extraction

  • Author

    Moons, Theo ; Pauwels, Eric J. ; Van Gool, Luc ; Osterlinck, A.

  • Author_Institution
    Katholieke Univ., Leuven, Belgium
  • fYear
    1992
  • fDate
    15-18 Jun 1992
  • Firstpage
    865
  • Lastpage
    868
  • Abstract
    It is shown how object recognition and optical flow can be captured within a single framework. These examples have been selected because they illustrate two complementary problems which can be tackled using the same unified approach based on Lie theory. The object recognition work referred to is based on the extraction of shape invariants and has been reported elsewhere. The present study focuses on using the same framework for the calculation of the optical flow. Besides the introduction of some new methods, it is shown that several well-known schemes can be derived following the same principles
  • Keywords
    image recognition; Lie theory; feature extraction; object recognition; optical flow; shape invariants; unified approach; Computer vision; Feature extraction; Image analysis; Image motion analysis; Layout; Moon; Object recognition; Optical filters; Robustness; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
  • Conference_Location
    Champaign, IL
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2855-3
  • Type

    conf

  • DOI
    10.1109/CVPR.1992.223237
  • Filename
    223237