• DocumentCode
    2600186
  • Title

    Computing viewpoints that satisfy optical constraints

  • Author

    Tarabanis, Konstantinos ; Tsai, Roger Y.

  • Author_Institution
    Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
  • fYear
    1991
  • fDate
    3-6 Jun 1991
  • Firstpage
    152
  • Lastpage
    158
  • Abstract
    The authors present techniques with which camera viewpoints can be automatically determined in order to satisfy the generic feature detectability requirements of resolution, focus, and field-of-view. These optical constraints are characterized analytically for a general thick lens model, and complete viewpoint loci that satisfy these constraints are obtained. The results discussed are useful for automating the vision system design process, as well as for programming the vision system itself. In addition, such planning techniques can also automate robot imaging systems that reconfigure themselves in an intelligent manner in order to optimize imaging quality
  • Keywords
    computer vision; computerised pattern recognition; robots; camera viewpoints; feature detectability; field-of-view; focus; imaging quality; optical constraints; planning; resolution; robot imaging systems; thick lens model; viewpoint loci; vision system design; Automatic programming; Cameras; Computer vision; Focusing; Intelligent robots; Lenses; Machine vision; Optical computing; Optical imaging; Robot programming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 1991. Proceedings CVPR '91., IEEE Computer Society Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    1063-6919
  • Print_ISBN
    0-8186-2148-6
  • Type

    conf

  • DOI
    10.1109/CVPR.1991.139678
  • Filename
    139678