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
Link To Document :
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