Geo-Location Estimation from Two Shadow Trajectories

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.

Cite

Text

Wu and Cao. "Geo-Location Estimation from Two Shadow Trajectories." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5540163

Markdown

[Wu and Cao. "Geo-Location Estimation from Two Shadow Trajectories." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/wu2010cvpr-geo/) doi:10.1109/CVPR.2010.5540163

BibTeX

@inproceedings{wu2010cvpr-geo,
  title     = {{Geo-Location Estimation from Two Shadow Trajectories}},
  author    = {Wu, Lin and Cao, Xiaochun},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2010},
  pages     = {585-590},
  doi       = {10.1109/CVPR.2010.5540163},
  url       = {https://mlanthology.org/cvpr/2010/wu2010cvpr-geo/}
}