Vision in bad weather
- 1 January 1999
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 2, 820-827 vol.2
- https://doi.org/10.1109/iccv.1999.790306
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
This publication has 8 references indexed in Scilit:
- Depth from scatteringPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Why is snow so bright?Journal of the Optical Society of America A, 1992
- Using color to separate reflection componentsColor Research & Application, 1985
- Factors Affecting the Size Distribution of Raindrops and SnowflakesJournal of the Atmospheric Sciences, 1970
- FogScientific American, 1968
- Vision Through the AtmospherePublished by University of Toronto Press Inc. (UTPress) ,1952
- The Effect of the Angular Aperture of a Telephotometer on the Telephotometry of Collimated and Non-Collimated Beams*Journal of the Optical Society of America, 1949
- Beiträge zur Optik trüber Medien, speziell kolloidaler MetallösungenAnnalen der Physik, 1908