• DocumentCode
    2079137
  • Title

    Calibration of radial distortion via QR factorization

  • Author

    Zhu, Wenqiao ; Diao, Changyu ; Huang, Jingzhou

  • Author_Institution
    Coll. of Comput. Sci., Zhejiang Univ., Hangzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    10-12 Dec. 2010
  • Firstpage
    728
  • Lastpage
    732
  • Abstract
    In this paper, the radial distortion correcting problem with the plimbline method is revisited, which uses the fact that in pinhole camera model a straight line in the scene should be imaged as a line in image space. A new algorithm is proposed, the distortion correcting problem is reformulated as a LS problem and solved via QR factorization. Both the single line case and multi-lines case are taken into account. It is very simple and easy to implement compared with other iterative technique based methods while has reasonable radial distortion correcting result. Experiments on both simulated data and real images, which include both the indoor scene images and outdoor scene images, show its performance.
  • Keywords
    CCD image sensors; calibration; distortion; geometrical optics; image processing; matrix decomposition; natural scenes; LS; QR factorization; calibration; image space; indoor scene images; outdoor scene images; pinhole camera model; plimbline method; radial distortion; straight line; Cameras; QR factortion; Radial distortion; division model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2010 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-6788-4
  • Type

    conf

  • DOI
    10.1109/PIC.2010.5687940
  • Filename
    5687940