• DocumentCode
    1875538
  • Title

    Measuring accurately-does your calibration technique get the job done?

  • Author

    Wagner, Gary

  • Author_Institution
    Automatix Inc., Billerica, MA, USA
  • fYear
    1993
  • fDate
    12-14 Oct 1993
  • Firstpage
    32
  • Lastpage
    37
  • Abstract
    When measuring it is important to understand all of the factors which affect accuracy. Using a vision system to measure is no different. Proper selection of the system components is not enough. It is true that most vision systems have the internal capability to extract measurements using sub-pixel techniques, but it is important not to think your system is actually that accurate if you fail to compensate for system induced distortions. The author considers simple calibration, X and Y scaling, perspective and distortion, robust calibration, multiple camera set-ups, multiple camera calibration, and three-dimensional calibration
  • Keywords
    calibration; computer vision; error compensation; image sensors; measurement errors; optical noise; X scaling; Y scaling; accurate measurement; calibration technique; multiple camera calibration; perspective; robust calibration; simple calibration; sub-pixel techniques; system induced distortions compensation; three-dimensional calibration; vision system; Calibration; Cameras; Coordinate measuring machines; Image sensors; Lenses; Machine vision; Optical devices; Optical distortion; Optical sensors; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Northcon/93. Conference Record
  • Conference_Location
    Portland, OR
  • Print_ISBN
    0-7803-9972-2
  • Type

    conf

  • DOI
    10.1109/NORTHC.1993.505028
  • Filename
    505028