The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

We present a novel technique to determine camera parameters when the sun is visible in an image sequence. The technique requires a user to label the position of the sun in a few images. We show that it can be used to successfully recover the camera focal length, as well as its azimuth and zenith angles. The method is thoroughly evaluated on synthetic data under a wide range of operating conditions, and representative examples are shown on real data. Ground truth parameters can be recovered with less than 3\% error in challenging cases.

Notes

Note: See the project webpage at http://graphics.cs.cmu.edu/projects/sky

Text Reference

Jean-Francois Lalonde, Srinivasa G. Narasimhan, and Alexei A. Efros, "Camera parameters estimation from hand-labelled sun positions in image sequences," tech. report CMU-RI-TR-08-32, Robotics Institute, Carnegie Mellon University, July, 2008

BibTeX Reference

@techreport{Lalonde_2008_6118,
   author = "Jean-Francois Lalonde and Srinivasa G Narasimhan and Alexei A. Efros",
   title = "Camera parameters estimation from hand-labelled sun positions in image sequences",
   booktitle = "",
   institution = "Robotics Institute",
   month = "July",
   year = "2008",
   number= "CMU-RI-TR-08-32",
   address= "Pittsburgh, PA",
   Notes = "See the project webpage at http://graphics.cs.cmu.edu/projects/sky"
}

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