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Material-specific user colour profiles from imaging spectroscopy data

dc.contributor.authorGu, Lin
dc.contributor.authorHuynh, Cong Phuoc
dc.contributor.authorRobles-Kelly, Antonio
dc.contributor.authorZhou, Jun
dc.coverage.spatialBarcelona Spain
dc.date.accessioned2015-12-10T23:13:46Z
dc.date.createdNovember 6-13 2011
dc.date.issued2011
dc.date.updated2016-02-24T11:04:42Z
dc.description.abstractIn this paper, we present a method which permits the creation of user colour preferences for object materials and lights in the scene making use of imaging spectroscopy data. To do this, we build upon the heterogeneous nature of the scene by imposing consistency over object materials so as to allow for small compositional variations across objects in the image. Once the consistency has been imposed, we aim at maximising the quality of the images under consideration based upon user input. This provides the flexibility necessary to utilise user profiles for the automatic processing of real world imagery while avoiding undesirable effects encountered when colour images are produced. We provide results on real-world imagery and illustrate how the method can be used to produce material-specific colours based upon user input.
dc.identifier.isbn9781467300629
dc.identifier.urihttp://hdl.handle.net/1885/64577
dc.publisherIEEE Computer Society
dc.relation.ispartofseriesIEEE International Conference on Computer Vision (ICCV 2011)
dc.sourceProceedings of IEEE International Conference on Computer Vision (ICCV 2011)
dc.subjectKeywords: Automatic processing; Colour image; Compositional variation; Imaging spectroscopy; Undesirable effects; User input; User profile; Image processing; Color
dc.titleMaterial-specific user colour profiles from imaging spectroscopy data
dc.typeConference paper
local.bibliographicCitation.lastpage1994
local.bibliographicCitation.startpage1987
local.contributor.affiliationGu, Lin, College of Engineering and Computer Science, ANU
local.contributor.affiliationHuynh, Cong Phuoc, NICTA
local.contributor.affiliationRobles-Kelly, Antonio, College of Engineering and Computer Science, ANU
local.contributor.affiliationZhou, Jun, College of Engineering and Computer Science, ANU
local.contributor.authoruidGu, Lin, u4773521
local.contributor.authoruidRobles-Kelly, Antonio, u1811090
local.contributor.authoruidZhou, Jun, u1818501
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationu4334215xPUB963
local.identifier.doi10.1109/ICCV.2011.6126470
local.identifier.scopusID2-s2.0-84863022436
local.type.statusPublished Version

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