• DocumentCode
    3408916
  • Title

    Geo-location estimation from two shadow trajectories

  • Author

    Wu, Lin ; Cao, Xiaochun

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    585
  • Lastpage
    590
  • Abstract
    The position of a world point´s solar shadow depends on its geographical location, the geometrical relationship between the orientation of the sunshine and the ground plane where the shadow casts. This paper investigates the property of solar shadow trajectories on a planar surface and shows that camera parameters, latitude, longitude can be estimated from two observed shadow trajectories. Our contribution is that we use the design of the analemmatic sundial to get the shadow conic and furthermore recover the camera´s geographical location. The proposed method does not require the shadow casting objects or a vertical object to be visible in the recovery of camera calibration. This approach is thoroughly validated on both synthetic and real data, and tested against various sources of errors including noise and number of observations.
  • Keywords
    computational geometry; computer vision; geographic information systems; analemmatic sundial; geographical location; geolocation estimation; geometrical relationship; ground plane; shadow conic; shadow trajectories; solar shadow; Cameras; Computational efficiency; Energy measurement; Energy resolution; Hybrid power systems; Motion analysis; Motion estimation; Motion measurement; Pixel; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-6984-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2010.5540163
  • Filename
    5540163