• DocumentCode
    457033
  • Title

    Estimating Intrinsic Parameters of Cameras using Two Arbitrary Rectangles

  • Author

    Kim, Jun-Sik ; Kweon, In So

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., KAIST, Daejeon
  • Volume
    1
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    707
  • Lastpage
    710
  • Abstract
    In this paper, we propose new camera calibration methods assuming a static camera. Two corresponding imaged rectangles whose aspect ratios are unknown are sufficient to calibrate a camera. By warping the images properly, we show that the information from the imaged rectangles can be transformed to the form of camera constraints. Based on these results, we propose two methods, one for three or more images and the other for only two images. The proposed methods are verified with synthetic and real images, and the results are comparable with less assumption on cameras and on scenes
  • Keywords
    cameras; computer vision; geometry; parameter estimation; camera calibration; camera constraints; camera intrinsic parameter estimation; image warping; Calibration; Cameras; Image sequences; Layout; Parameter estimation; Rendering (computer graphics); Robot localization; Robot vision systems; Robustness; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
  • Conference_Location
    Hong Kong
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2521-0
  • Type

    conf

  • DOI
    10.1109/ICPR.2006.500
  • Filename
    1698990