DocumentCode :
2538078
Title :
Depth from scattering
Author :
Cozman, Fabio ; Krotkov, Eric
Author_Institution :
Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
fYear :
1997
fDate :
17-19 Jun 1997
Firstpage :
801
Lastpage :
806
Abstract :
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 meteorologists. 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 surprising accuracy and can be used as an additional information source for autonomous vehicles
Keywords :
image reconstruction; scattering; atmospheric scattering; autonomous vehicles; depth cues; image understanding; outdoor scenes; Atmosphere; Atmospheric modeling; Atmospheric waves; Computational modeling; Image analysis; Layout; Light scattering; Lighting; Particle scattering; Rayleigh scattering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Conference_Location :
San Juan
ISSN :
1063-6919
Print_ISBN :
0-8186-7822-4
Type :
conf
DOI :
10.1109/CVPR.1997.609419
Filename :
609419
Link To Document :
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