• DocumentCode
    3364754
  • Title

    The 2D Calibration Error Analysis and Compensation in the Visual Measurement

  • Author

    Gao, Deng-Ke ; Wang, Yong-Qiang ; Zhou, Cong-Ling ; Xu, Zeng-Pu

  • Author_Institution
    Coll. of Mech. Eng., Tianjin Univ. of Sci. & Technol., Tianjin, China
  • Volume
    2
  • fYear
    2012
  • fDate
    26-27 Aug. 2012
  • Firstpage
    238
  • Lastpage
    241
  • Abstract
    Plane calibration error can´t be avoided, which has a direct influence on the measurement accuracy in the 2D vision measurement system. This paper first analyzes the law of error distribution which occurs commonly in 2D plane calibration and establishes the infinitesimal error compensation model bases on this law. The pixels´ error on the plane is compensated through image correcting and pixels´ object plane coordinate rebuilding. The result shows that this method can reduce the error effectively so that the accuracy of the vision measurement system is improved.
  • Keywords
    calibration; computer vision; error compensation; 2D calibration error analysis; 2D plane calibration error; 2D vision measurement system; error distribution law; image correction; infinitesimal error compensation model; pixel object plane coordinate rebuilding; visual measurement; Accuracy; Calibration; Error compensation; Image edge detection; Interpolation; Measurement uncertainty; Standards; 2D plane calibration; Correction; Error distribution; Infinitesimal element of the error compensation model; Reconstruction of object plane coordinates;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2012 4th International Conference on
  • Conference_Location
    Nanchang, Jiangxi
  • Print_ISBN
    978-1-4673-1902-7
  • Type

    conf

  • DOI
    10.1109/IHMSC.2012.153
  • Filename
    6305767