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Proceedings Paper

Vision and the weather
Author(s): Srinivasa G. Narasimhan; Shree K. Nayar
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Paper Abstract

Current vision systems are designed to perform in clear weather. Needless to say, in any outdoor application, there is not escape from 'bad' weather. Ultimately, computer vision systems must include mechanisms that enable them to function 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, and identify effects caused by bad weather that can be turned to our advantage. Since the atmosphere modulates the information carried form a scene point to the observer, it can be viewed as a mechanism of visual information coding. We exploit two fundamental scattering models and develop methods for recovering pertinent scene properties, such as 3D structure, from one or two images taken under poor weather conditions. Next, we model the chromatic effects of the atmospheric scattering gand verify it for fog and haze. The, based on this chromatic model we derive several geometric constraints on scene color changes caused by varying atmospheric conditions. Finally, using these constraints we develop algorithms for computing fog or haze color, depth segmentation , extracting 3D structure, and recovering 'clear day' scene colors, from two or more images taken under different but unknown weather conditions.

Paper Details

Date Published: 8 June 2001
PDF: 18 pages
Proc. SPIE 4299, Human Vision and Electronic Imaging VI, (8 June 2001); doi: 10.1117/12.429497
Show Author Affiliations
Srinivasa G. Narasimhan, Columbia Univ. (United States)
Shree K. Nayar, Columbia Univ. (United States)


Published in SPIE Proceedings Vol. 4299:
Human Vision and Electronic Imaging VI
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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