• DocumentCode
    2515848
  • Title

    Some novel analogic CNN algorithms for object rotation, 3D interpolation-approximation, and a “door-in-a-floor” problem

  • Author

    Csapodi, M. ; Nemes, L. ; Tóth, G. ; Roska, T. ; Radványi, A.

  • Author_Institution
    Comput. & Autom. Inst., Hungarian Acad. of Sci., Budapest, Hungary
  • fYear
    1994
  • fDate
    18-21 Dec 1994
  • Firstpage
    435
  • Lastpage
    440
  • Abstract
    In this paper three interesting analogic CNN algorithms are presented for three tasks. The first task is to move a given 2D object along a prescribed path, the second task is the approximation of 3D surfaces by various interpolation and approximation methods and the third task is a specific detection problem. In this detection problem our task is to detect a “door-in-a-floor” by finding the handle and possibly the place of a text or symbol on the door. The solution methods of the tasks are summarized
  • Keywords
    cellular neural nets; position control; 3D interpolation-approximation; analogic CNN algorithms; door-in-a-floor problem; object rotation; Approximation methods; Casting; Cellular neural networks; Equations; Interpolation; Laboratories; Object detection; Size control; State feedback; Turing machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
  • Conference_Location
    Rome
  • Print_ISBN
    0-7803-2070-0
  • Type

    conf

  • DOI
    10.1109/CNNA.1994.381636
  • Filename
    381636