• DocumentCode
    2575356
  • Title

    Non-linear resolution vision systems

  • Author

    Li, P. ; Nutter, R.S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., West Virginia Univ., Morgantown, WV, USA
  • fYear
    1991
  • fDate
    13-16 Oct 1991
  • Firstpage
    25
  • Abstract
    The concept of a nonlinear resolution (NLR) vision system is introduced. Some basic problems in developing NLR vision systems are discussed. An NLR vision simulation system is also proposed. This proposed system resamples a digitized linear resolution image with a nonlinear sampling rate. An NLR vision system does not sense an image with a uniform resolution. Therefore, the sensed image is distorted according to a chosen nonlinear curve (or surface). If the curve (or surface) is controlled properly, an NLR vision system can not only provide good resolution and a large image window at the same time when the number of image pixels is a constant, but can also provide an invariant description of objects in an image
  • Keywords
    computer vision; computerised picture processing; computer vision; digitized linear resolution image; image pixels; nonlinear curve; nonlinear resolution vision system; nonlinear sampling rate; Cameras; Computer vision; Eyes; Humans; Image resolution; Machine vision; Pattern recognition; Pixel; Sampling methods; Signal resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on
  • Conference_Location
    Charlottesville, VA
  • Print_ISBN
    0-7803-0233-8
  • Type

    conf

  • DOI
    10.1109/ICSMC.1991.169655
  • Filename
    169655