DocumentCode :
2541450
Title :
Structured light in scattering media
Author :
Narasimhan, Srinivasa G. ; Nayar, Shree K. ; Sun, Bo ; Koppal, Sanjeev J.
Author_Institution :
Inst. of Robotics, Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
1
fYear :
2005
fDate :
17-21 Oct. 2005
Firstpage :
420
Abstract :
Virtually all structured light methods assume that the scene and the sources are immersed in pure air and that light is neither scattered nor absorbed. Recently, however, structured lighting has found growing application in underwater and aerial imaging, where scattering effects cannot be ignored. In this paper, we present a comprehensive analysis of two representative methods - light stripe range scanning and photometric stereo - in the presence of scattering. For both methods, we derive physical models for the appearances of a surface immersed in a scattering medium. Based on these models, we present results on (a) the condition for object detectability in light striping and (b) the number of sources required for photometric stereo. In both cases, we demonstrate that while traditional methods fail when scattering is significant, our methods accurately recover the scene (depths, normals, albedos) as well as the properties of the medium. These results are in turn used to restore the appearances of scenes as if they were captured in clear air. Although we have focused on light striping and photometric stereo, our approach can also be extended to other methods such as grid coding, gated and active polarization imaging.
Keywords :
image restoration; light scattering; photometry; stereo image processing; underwater optics; active polarization imaging; aerial imaging; gated polarization imaging; grid coding; light stripe range scanning; light striping; photometric stereo; scattering media; structured light; underwater imaging; Computer science; Layout; Light scattering; Optical attenuators; Optical imaging; Optical scattering; Photometry; Robots; Sun; Surface reconstruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision, 2005. ICCV 2005. Tenth IEEE International Conference on
ISSN :
1550-5499
Print_ISBN :
0-7695-2334-X
Type :
conf
DOI :
10.1109/ICCV.2005.232
Filename :
1541286
Link To Document :
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