• DocumentCode
    874763
  • Title

    A survey of selective fixation control for machine vision

  • Author

    Abbott, A. Lynn

  • Author_Institution
    Bradley Dept. of Electr. Eng., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
  • Volume
    12
  • Issue
    4
  • fYear
    1992
  • Firstpage
    25
  • Lastpage
    31
  • Abstract
    Relevant research in human vision is summarized. Computational models for selective fixation control, most of which have begun to emerge only in recent years, are discussed. The methods examined involve several visual and nonvisual criteria, and the resulting sensing strategies are highly goal dependent. Both biological and machine vision are considered.<>
  • Keywords
    computer vision; vision; human vision; machine vision; nonvisual criteria; selective fixation control; sensing strategies; visual criteria; Automatic control; Cameras; Computational modeling; Computer vision; Face recognition; Humans; Image analysis; Machine vision; Target tracking; Visual perception;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/37.204948
  • Filename
    204948