• DocumentCode
    423807
  • Title

    An image correction-based approach to camera calibration

  • Author

    Yang, Yao-Quan ; Zhang, Dong-Sheng ; Gu, Wei ; Lu, Yu-Dong

  • Author_Institution
    Fac. of Control Sci. & Eng., North China Electr. Power Univ., Baoding, China
  • Volume
    6
  • fYear
    2004
  • fDate
    26-29 Aug. 2004
  • Firstpage
    3751
  • Abstract
    In several cases, the lens distortion introduces some error to visual detection. It is necessary and significant to correct the error efficiently for the purpose of extracting the accurate position information of the observed object. We developed a new method for correcting the radial lens distortion based on the pin-hole model with first order radial distortion. The development of the method is motivated through a desire to develop a linear camera calibration technique that requires the calibration of the less extrinsic parameters, and has better real-time character. Both the simulated image and real image are given to denote that this correction method is robust and accurate.
  • Keywords
    calibration; cameras; computer vision; error correction; lenses; image correction-based approach; lens distortion; linear camera calibration technique; machine vision; pin-hole model; radial distortion; visual detection; Calibration; Cameras; Computational modeling; Error correction; Lenses; Nonlinear distortion; Optical distortion; Optical imaging; Robot vision systems; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
  • Print_ISBN
    0-7803-8403-2
  • Type

    conf

  • DOI
    10.1109/ICMLC.2004.1380474
  • Filename
    1380474