• DocumentCode
    535438
  • Title

    A method of vehicle camera self-calibration

  • Author

    Feng, Nenglian ; Hao, Jing ; Bin, Yang ; Yin, Yuhao

  • Author_Institution
    Coll. of Environ. & Energy Eng., Beijing Univ. of Technol., Beijing, China
  • Volume
    5
  • fYear
    2010
  • fDate
    16-18 Oct. 2010
  • Firstpage
    2449
  • Lastpage
    2453
  • Abstract
    On account of the poor anti-nose performance and the complicated calibration process in the existing algorithms of the vehicle camera self-calibration, a method based on the single octagonal template is proposed in this paper. This method takes advantage of the character of cross ratio and the harmonic conjugate in the projective geometry and the relevant reasoning of Laguerre theory. With this method, the information about the size, locations and motion states of the template isn´t needed while reducing the movement times of the template. Meanwhile, the precision of the corner detection can reach the sub-pixel via improving the method of Harris corner detection. A large number of experiments proved this method high-precision and effectiveness while giving consideration to the noise and other factors in the real conditions.
  • Keywords
    calibration; cameras; computer vision; driver information systems; edge detection; Harris corner detection method; Laguerre theory; complicated calibration process; computer vision; harmonic conjugate; projective geometry; single octagonal template; vehicle camera self-calibration method; Accuracy; Calibration; Cameras; Equations; Harmonic analysis; Robot vision systems; Vehicles; camera intrinsic parameters; corner detection; octagon; self-calibration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2010 3rd International Congress on
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4244-6513-2
  • Type

    conf

  • DOI
    10.1109/CISP.2010.5648059
  • Filename
    5648059