• DocumentCode
    248977
  • Title

    Calibration of an industrial vision system using an ellipsoid

  • Author

    Heather, Jamie P.

  • Author_Institution
    Compac Technol., Auckland, New Zealand
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    3444
  • Lastpage
    3448
  • Abstract
    A robust multi-camera calibration algorithm developed for an industrial vision system is described. An ellipsoid with a simple surface pattern and accurately known geometry is used as a calibration target. Our algorithm automatically detects the presence of the ball on the conveyor and accurately determines the position of its outline and marker lines in each image frame using efficient image processing techniques. A fast least-squares minimization is then performed to determine the optimal camera and motion parameters. The method is fully automatic and requires no human interaction or guidance, helping to minimize machine setup and maintenance times. The calibration algorithm has been demonstrated on real image captures and performance is quantified using simulated image sequences.
  • Keywords
    calibration; cameras; computerised instrumentation; geometry; image motion analysis; image sequences; least squares approximations; minimisation; calibration; conveyor; geometry; image processing; image sequence; industrial vision system; least-square minimization; maintenance; motion parameter; multicamera calibration algorithm; Calibration; Cameras; Ellipsoids; Fitting; Machine vision; Optimization; Robot vision systems; ellipsoidal target; image registration; least-squares; motion model; multi-camera calibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing (ICIP), 2014 IEEE International Conference on
  • Conference_Location
    Paris
  • Type

    conf

  • DOI
    10.1109/ICIP.2014.7025700
  • Filename
    7025700