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