• DocumentCode
    595158
  • Title

    Shadow detection via Rayleigh scattering and Mie theory

  • Author

    Lin Gu ; Robles-Kelly, Antonio

  • Author_Institution
    Coll. of Eng. & Comp. Sci., Australian Nat. Univ., Canberra, ACT, Australia
  • fYear
    2012
  • fDate
    11-15 Nov. 2012
  • Firstpage
    2165
  • Lastpage
    2168
  • 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.
  • Keywords
    Mie scattering; Rayleigh scattering; natural scenes; pattern clustering; sunlight; Mie theory; Rayleigh scattering; active contours; atmospheric particle; diffuse skylight; image clustering; image shadow detection; light scattering; outdoor scene; sunlight scattering; Active contours; Image color analysis; Image edge detection; Image segmentation; Level set; Rayleigh scattering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition (ICPR), 2012 21st International Conference on
  • Conference_Location
    Tsukuba
  • ISSN
    1051-4651
  • Print_ISBN
    978-1-4673-2216-4
  • Type

    conf

  • Filename
    6460591