Detection of Occlusion Edges from the Derivatives of Weather Degraded Images

Authors:
Daniel Levesque;Francois Deschenes
Affiliations:
Université de Sherbrooke, Canada;Université de Sherbrooke, Canada
Venue:
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Year:
2005

Citing 0
Cited 1

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ROBIO'09 Proceedings of the 2009 international conference on Robotics and biomimetics

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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.