Carnegie Mellon University
Depth from Scattering

Fabio Cozman and Eric Krotkov
IEEE Conference on Computer Vision and Pattern Recognition, June, 1997.

  • Adobe portable document format (pdf) (269KB)
Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

Light power is affected when it crosses the atmosphere; there is a simple, albeit non-linear, relationship between the radiance of an image at any given wavelength and the distance between object and viewer. This phenomenon is called atmospheric scattering and has been extensively studied by physicists and meterologists. We present the first analysis of this phenomenon from an image understanding perspective: we investigate a group of techniques for extraction of depth cues solely from the analysis of atmospheric scattering effects in images. Depth from scattering techniques are discussed for indoor and outdoor environments, and experimental tests with real images are presented. We have found that depth cues in outdoor scenes can be recovered with surpr is in g accuracy and can be used as an additional information source for autonomous vehicles.

Associated Center(s) / Consortia: Vision and Autonomous Systems Center
Associated Project(s): Visual Position Estimator

Text Reference
Fabio Cozman and Eric Krotkov, "Depth from Scattering," IEEE Conference on Computer Vision and Pattern Recognition, June, 1997.

BibTeX Reference
   author = "Fabio Cozman and Eric Krotkov",
   title = "Depth from Scattering",
   booktitle = "IEEE Conference on Computer Vision and Pattern Recognition",
   month = "June",
   year = "1997",