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Outdoor shadow modelling and its applications
This chapter deals with shadow modelling and its utilities in shadow detection and weather estimation in out-door space. Noting the diffuse skylight is scattered by particles in the atmosphere, we view the skylight, which casts the shadow, as a linear combination of scattered sunlight obeying Rayleigh scattering and Mie theory. Thus, we propose a ratio on the shadow-sunlit boundary which only depends on atmospheric condition. This ratio recasts recovering the shadow areas into a clustering setting making use of active contours. It also allows a metric to be formulated that indicates the degree to which a scene is overcast. We illustrate the utility of the method for purposes of detecting shadows and weather estimation in real-world imagery, provide time complexity results and compare against a number of alternatives elsewhere in the literature.
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Title of book
Handbook of pattern recognition and computer visionChapter number
3.5Pagination
473 - 490Publisher
World ScientificPlace of publication
SingaporePublisher DOI
ISBN-13
9789814656542Edition
5Language
engPublication classification
B1.1 Book chapterExtent
3.9Editor/Contributor(s)
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