DocumentCode :
3380515
Title :
Detection of occlusion edges from the derivatives of weather degraded images
Author :
Lévesque, Daniel ; Deschênes, François
Author_Institution :
Departement d´´Informatique, Univ. de Sherbrooke, Que., Canada
fYear :
2005
fDate :
9-11 May 2005
Firstpage :
114
Lastpage :
120
Abstract :
Degradation of images of outdoor scenes caused by varying conditions of visibility can be exploited in order to get information on the scene. We propose two new methods for detecting occlusion edges between textured areas of a scene. These methods are based on the use of partial derivatives of two images acquired under different conditions of visibility. They were validated on images of both synthetic and real scenes.
Keywords :
image reconstruction; image texture; 3D structure; image degradation; light structure; occlusion edges detection; outdoor scenes; weather degraded images; Cameras; Degradation; Equations; Extinction coefficients; Image edge detection; Image reconstruction; Image restoration; Layout; Light scattering; Particle scattering; 3D structure; light scattering; occlusion; weather degraded image;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Robot Vision, 2005. Proceedings. The 2nd Canadian Conference on
Print_ISBN :
0-7695-2319-6
Type :
conf
DOI :
10.1109/CRV.2005.35
Filename :
1443119
Link To Document :
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