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Outdoor shadow modelling and its applications

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posted on 2016-01-01, 00:00 authored by Lin Gu, Antonio Robles-KellyAntonio Robles-Kelly
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.

History

Title of book

Handbook of pattern recognition and computer vision

Chapter number

3.5

Pagination

473 - 490

Publisher

World Scientific

Place of publication

Singapore

ISBN-13

9789814656542

Edition

5

Language

eng

Publication classification

B1.1 Book chapter

Extent

3.9

Editor/Contributor(s)

C Chen

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