Shadow detection via Rayleigh scattering and Mie theory

Lin Gu*, Antonio Robles-Kelly

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)

    Abstract

    In this paper, we present a method to detect shadows in outdoor scenes. Here, we note that the shadow areas correspond to the diffuse skylight which arises from the scattering of the sunlight by particles in the atmosphere. This yields a treatment in which shadows in the image can be viewed as a linear combination of scattered light obeying Rayleigh scattering and Mie theory. This treatment allows for the computation of a ratio which permits casting the problem of recovering the shadowed areas in the image into a clustering setting making use of active contours. We illustrate the utility of the method for purposes of detecting shadows in real-world imagery and compare our results against a number of alternatives elsewhere in the literature.

    Original languageEnglish
    Title of host publicationICPR 2012 - 21st International Conference on Pattern Recognition
    Pages2165-2168
    Number of pages4
    Publication statusPublished - 2012
    Event21st International Conference on Pattern Recognition, ICPR 2012 - Tsukuba, Japan
    Duration: 11 Nov 201215 Nov 2012

    Publication series

    NameProceedings - International Conference on Pattern Recognition
    ISSN (Print)1051-4651

    Conference

    Conference21st International Conference on Pattern Recognition, ICPR 2012
    Country/TerritoryJapan
    CityTsukuba
    Period11/11/1215/11/12

    Fingerprint

    Dive into the research topics of 'Shadow detection via Rayleigh scattering and Mie theory'. Together they form a unique fingerprint.

    Cite this