• DocumentCode
    2595154
  • Title

    Camera Calibration from Two Shadow Trajectories

  • Author

    Lu, Fei ; Cao, Xiaochun ; Shen, Yuping ; Foroosh, Hassan

  • Author_Institution
    Comput. Imaging Lab., Central Florida Univ., Orlando, FL
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We introduce an efficient method for recovering the camera parameters automatically from the cast shadows of two 3D points observed over time. Compared to previous related work, our method has less restrictions in the sense that object-to-shadow correspondences do not have to be available in the image. We demonstrate how the horizon line may be recovered from only shadow points, and how the camera intrinsic and extrinsic parameters are determined using the pole-polar relationship and minimizing the algebraic distance of the principal point. The approach is fully validated on both synthetic and real data, and tested against various sources of error. We finally present an application to metrology from shadows only - i.e. when the object is not visible in the image
  • Keywords
    algebra; calibration; cameras; image processing; 3D points; algebraic distance; camera calibration; camera extrinsic parameters; camera intrinsic parameters; camera parameters; object-to-shadow correspondences; pole-polar relationship; shadow trajectories; Application software; Calibration; Cameras; Computer errors; Computer vision; Data mining; Laboratories; Layout; Metrology; 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.2006.347
  • Filename
    1699134