• DocumentCode
    3206166
  • Title

    The Research of Calibration Technology on Parts Size Measurement

  • Author

    Gao, Junchai ; Lei, Zhiyong ; Wang, Zemin

  • Author_Institution
    Sch. of Electron. Inf. Eng., Xi´´an Technol. Univ., Xi´´an, China
  • Volume
    3
  • fYear
    2010
  • fDate
    11-12 May 2010
  • Firstpage
    893
  • Lastpage
    896
  • Abstract
    For parts size measurement system, the traditional method of using fixed focus optical with short focal and of calibrating with standard parts, which has more radial distortion and pixel equivalent error, affecting the measurement accuracy. In order to improve the accuracy of size measurement system, according to the linear imaging model of pinhole camera and the non-linear model of lens, a focusing mathematical model of fixed-focus camera lens is established and cross-ratio invariant calibration method is presented. The impact factors for measurement accuracy is studied by distance changes of objects in small-scale and by geometry projective transformation of lens, the pixel equivalent calibrated is revised with focusing model and lens distortion coefficients is calibrated with cross-ratio invariant, high-precision measurement is achieved with the calibration method in the system. The experimental data show that the proposed calibration technology can achieve higher accuracy.
  • Keywords
    calibration; image sensors; lenses; measurement systems; nonlinear distortion; size measurement; calibration technology; cross-ratio invariant; geometry projective transformation; lens; linear imaging model; measurement accuracy; measurement system; nonlinear model; parts size measurement; pinhole camera; pixel equivalent error; precision measurement; radial distortion; Calibration; Cameras; Distortion measurement; Focusing; Lenses; Mathematical model; Nonlinear distortion; Nonlinear optics; Optical distortion; Size measurement; Calibration Technology; Cross-ratio Invariant; Distortion; Pixel Equivalent; Size Measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-7279-6
  • Electronic_ISBN
    978-1-4244-7280-2
  • Type

    conf

  • DOI
    10.1109/ICICTA.2010.246
  • Filename
    5523391