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The 2nd Canadian Conference on Computer and Robot Vision (CRV'05)
Detection of Occlusion Edges from the Derivatives of Weather Degraded Images
The University of Victoria, Victoria, British Columbia, Canada
May 09-May 11
ISBN: 0-7695-2319-6
Daniel L?vesque, Universit? de Sherbrooke, Canada
Fran?ois Desch?nes, Universit? de Sherbrooke, Canada
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.
Index Terms:
3D structure, occlusion, light scattering, weather degraded image
Citation:
Daniel L?vesque, Fran?ois Desch?nes, "Detection of Occlusion Edges from the Derivatives of Weather Degraded Images," crv, pp.114-120, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005
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