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Carnegie Mellon Robotics Institute

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Abstract

Current vision systems are designed to perform in clear weather. Needless to say, in any outdoor application, there is no escape from ?bad? weather. Ultimately, computer vision systems must include mechanisms that enable them to function (even if somewhat less reliably) in the presence of haze, fog, rain, hail and snow. We begin by studying the visual manifestations of different weather conditions. For this, we draw on what is already known about atmospheric optics. Next, we identify effects caused by bad weather that can be turned to our advantage. Since the atmosphere modulates the information carried from a scene point to the observer, it can be viewed as a mechanism of visual information coding. Based on this observation, we develop models and methods for recovering pertinent scene properties, such as threedimensional structure, from images taken under poor weather conditions.

Keywords

bad weather, fog, haze, deweathering

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Associated Lab(s) / Group(s): Illumination and Imaging Lab

Number of pages: 8

Text Reference

Shree K Nayar and Srinivasa G. Narasimhan, "Vision in Bad Weather," The Proceedings of the Seventh IEEE International Conference on Computer Vision, September, 1999, pp. 820 - 827.

BibTeX Reference

@inproceedings{Narasimhan_1999_5044,
   author = "Shree K Nayar and Srinivasa G Narasimhan",
   title = "Vision in Bad Weather",
   booktitle = "The Proceedings of the Seventh IEEE International Conference on Computer Vision",
   pages = "820 - 827",
   month = "September",
   year = "1999",
   volume = "2",
}

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