• DocumentCode
    2787834
  • Title

    Artificial neural networks in visual perception

  • Author

    Bennamoun, M. ; Bayoumi, M.M.

  • Author_Institution
    Dept. of Electr. Eng., Queen´´s Univ., Kingston, Ont., Canada
  • fYear
    1990
  • fDate
    5-7 Sep 1990
  • Firstpage
    493
  • Abstract
    A general framework for using artificial neural networks in the recognition of 3-D objects from a single view is provided. An autonomous 3-D object recognition system based on the theories of superquadrics and fractals is presented. These theories are combined with artificial neural network models
  • Keywords
    fractals; neural nets; pattern recognition; fractals; superquadrics; visual perception; Artificial neural networks; Computer vision; Fractals; Image recognition; Intelligent networks; Machine vision; Object recognition; Shape; Speech recognition; Visual perception;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control, 1990. Proceedings., 5th IEEE International Symposium on
  • Conference_Location
    Philadelphia, PA
  • ISSN
    2158-9860
  • Print_ISBN
    0-8186-2108-7
  • Type

    conf

  • DOI
    10.1109/ISIC.1990.128502
  • Filename
    128502
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2787834