• DocumentCode
    3549191
  • Title

    Camera calibration and light source estimation from images with shadows

  • Author

    Cao, Xiaochun ; Shah, Mubarak

  • Author_Institution
    Comput. Vision Lab., Central Florida Univ., Orlando, FL, USA
  • Volume
    2
  • fYear
    2005
  • fDate
    20-25 June 2005
  • Firstpage
    918
  • Abstract
    In this paper, we describe how camera parameters and light source orientation can be recovered from two perspective views of a scene given only two vertical lines and their cast shadows. Compared to the traditional calibration methods that involve images of some precisely machined calibration pattern, our method uses new calibration objects: the vertical objects and their parallel shadow lines, which are common in natural environments. In addition to the benefit of increasing accessibility of the calibration objects, the proposed method is also especially useful in cases where only limited information is available. To demonstrate the accuracy and the applications of the proposed algorithm, we present results on both synthetic and real images.
  • Keywords
    calibration; cameras; estimation theory; image restoration; light sources; natural scenes; object recognition; calibration object; camera calibration; camera parameter; light source estimation; parallel shadow line; real image; vertical object; Application software; Calibration; Cameras; Computer vision; Data mining; Geometry; Image reconstruction; Layout; Light sources; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on
  • ISSN
    1063-6919
  • Print_ISBN
    0-7695-2372-2
  • Type

    conf

  • DOI
    10.1109/CVPR.2005.95
  • Filename
    1467540