Title :
Vision in bad weather
Author :
Nayar, Shree K. ; Narasimhan, Srinivasa G.
Author_Institution :
Dept. of Comput. Sci., Columbia Univ., New York, NY, USA
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 three-dimensional structure, from images taken under poor weather conditions
Keywords :
atmospheric optics; computer vision; encoding; atmospheric optics; computer vision; fog; hail; haze; poor weather conditions; rain; snow; three-dimensional structure; vision systems; visual information coding; Application software; Atmosphere; Atmospheric modeling; Computer vision; Layout; Machine vision; Modulation coding; Optical modulation; Rain; Snow;
Conference_Titel :
Computer Vision, 1999. The Proceedings of the Seventh IEEE International Conference on
Conference_Location :
Kerkyra
Print_ISBN :
0-7695-0164-8
DOI :
10.1109/ICCV.1999.790306