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Shadow detection via Rayleigh scattering and Mie theory

dc.contributor.authorGu, Lin
dc.contributor.authorRobles-Kelly, Antonio
dc.coverage.spatialTsukuba Japan
dc.date.accessioned2015-12-13T22:19:54Z
dc.date.createdNovember 11-15 2012
dc.date.issued2012
dc.date.updated2016-02-24T09:05:00Z
dc.description.abstractIn 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.
dc.identifier.isbn9784990644109
dc.identifier.urihttp://hdl.handle.net/1885/72075
dc.publisherConference Organising Committee
dc.relation.ispartofseriesInternational Conference on Pattern Recognition (ICPR 2012)
dc.sourceProceedings - International Conference on Pattern Recognition
dc.subjectKeywords: Active contours; Linear combinations; Mie theory; Outdoor scenes; Real-world; Shadow detections; Pattern recognition; Rayleigh scattering; Image segmentation
dc.titleShadow detection via Rayleigh scattering and Mie theory
dc.typeConference paper
local.bibliographicCitation.lastpage2168
local.bibliographicCitation.startpage2165
local.contributor.affiliationGu, Lin, College of Engineering and Computer Science, ANU
local.contributor.affiliationRobles-Kelly, Antonio, College of Engineering and Computer Science, ANU
local.contributor.authoruidGu, Lin, u4773521
local.contributor.authoruidRobles-Kelly, Antonio, u1811090
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor099999 - Engineering not elsewhere classified
local.identifier.ariespublicationf5625xPUB3038
local.identifier.scopusID2-s2.0-84874558913
local.type.statusPublished Version

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