Removing shadows

Authors:
Martin D. Levine;Jisnu Bhattacharyya
Affiliations:
Department of Electrical and Computer Engineering, Center for Intelligent Machines, McGill University, 3480 University Street, Montreal, Canada H3A 2A7;Department of Electrical and Computer Engineering, Center for Intelligent Machines, McGill University, 3480 University Street, Montreal, Canada H3A 2A7
Venue:
Pattern Recognition Letters - Special issue: In memoriam Azriel Rosenfeld
Year:
2005

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Abstract

Shadows often confound algorithms designed to solve computer vision tasks such as image segmentation, object detection and tracking. In this paper, a shadow detection and removal technique is proposed. The method requires no camera calibration or other a priori information regarding the scene. Support vector machines are used to identify shadow boundaries based on their boundary properties. This boundary information is used to identify shadowed regions in the image and then assign them the color of non-shadow neighbors of the same material.