• DocumentCode
    594822
  • Title

    Camera calibration from a single image based on coupled line cameras and rectangle constraint

  • Author

    Joo-Haeng Lee

  • Author_Institution
    Robot & Cognitive Syst. Res. Dept., ETRI, Daejeon, South Korea
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    758
  • Lastpage
    762
  • Abstract
    Given a single image of a scene rectangle of an unknown aspect ratio and size, we present a method to reconstruct the projective structure and to find camera parameters including focal length, position, and orientation. First, we solve the special case when the center of a scene rectangle is projected to the image center. We formulate this problem with coupled line cameras and present the analytic solution for it. Then, by prefixing a simple preprocessing step, we solve the general case without the centering constraint. We also provides a determinant to tell if an image quadrilateral is a projection of a rectangle. We demonstrate the performance of the proposed method with synthetic and real data.
  • Keywords
    cameras; geometry; image reconstruction; aspect ratio; camera calibration; camera parameters; coupled line cameras; focal length; image center; image quadrilateral; image size; projective structure reconstruction; real data; rectangle constraint; rectangle projection; scene rectangle; simple preprocessing step; synthetic data; Calibration; Cameras; Computational modeling; Computer vision; Image reconstruction; Periodic structures; Robot vision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460245