• DocumentCode
    2601779
  • Title

    Calibration for high-definition camera rigs with marker chessboard

  • Author

    Chen, Jianhui ; Benzeroual, Karim ; Allison, Robert S.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., York Univ., Toronto, ON, Canada
  • fYear
    2012
  • fDate
    16-21 June 2012
  • Firstpage
    29
  • Lastpage
    36
  • Abstract
    The geometrical calibration of a high-definition camera rig is an important step for 3D film making and computer vision applications. Due to the large amount of image data in high-definition, maintaining execution speeds appropriate for on-set, on-line adjustment procedures is one of the biggest challenges for machine vision based calibration methods. Our aims are to provide a low-cost, fast and accurate system to calibrate both the intrinsic and extrinsic parameters of a stereo camera rig. We first propose a novel calibration target that we call marker chessboard to speed up the corner detection. Then we develop an automatic key frame selection algorithm to optimize frames used in calibration. We also propose a bundle adjustment method to overcome the geometrical inaccuracy of the chessboard. Finally we introduce an online stereo camera calibration system based on the above improvements.
  • Keywords
    computer vision; image sensors; stereo image processing; 3D film making; bundle adjustment method; computer vision applications; extrinsic parameters; geometrical calibration; geometrical inaccuracy; high-definition camera rig calibration; image data; intrinsic parameters; machine vision; machine vision based calibration methods; marker chessboard; online adjustment procedures; online stereo camera calibration system; stereo camera; Accuracy; Calibration; Cameras; Lenses; Production; Stereo image processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition Workshops (CVPRW), 2012 IEEE Computer Society Conference on
  • Conference_Location
    Providence, RI
  • ISSN
    2160-7508
  • Print_ISBN
    978-1-4673-1611-8
  • Electronic_ISBN
    2160-7508
  • Type

    conf

  • DOI
    10.1109/CVPRW.2012.6238905
  • Filename
    6238905