Camera calibration and geo-location estimation from two shadow trajectories

Authors:
Lin Wu;Xiaochun Cao;Hassan Foroosh
Affiliations:
School of Computer Science and Technology, Tianjin University, Tianjin 300072, China;School of Computer Science and Technology, Tianjin University, Tianjin 300072, China;Computer Vision Laboratory, University of Central Florida, Orlando, FL 32816, United States
Venue:
Computer Vision and Image Understanding
Year:
2010

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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 and shadow casting objects' relative height ratios can be estimated from two observed shadow trajectories. One contribution is to recover the horizon line and metric rectification matrix from four observations of two shadow tips. The other contribution is that we use the design of an 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, number of observations, objects locations, and camera orientations. We also present applications to image-based metrology.