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dc.contributor.authorNascimento, Sérgio M. C.por
dc.contributor.authorAmano, Kinjiropor
dc.contributor.authorFoster, David H.por
dc.date.accessioned2016-12-28T23:19:12Z-
dc.date.available2016-12-28T23:19:12Z-
dc.date.issued2016-03-
dc.identifier.citationNascimento, S. M. C., Amano, K., & Foster, D. H. (2016). Spatial distributions of local illumination color in natural scenes. Vision Research, 120, 39-44. doi: 10.1016/j.visres.2015.07.005por
dc.identifier.issn0042-6989por
dc.identifier.urihttps://hdl.handle.net/1822/43973-
dc.description.abstractIn natural complex environments, the elevation of the sun and the presence of occluding objects and mutual reflections cause variations in the spectral composition of the local illumination across time and location. Unlike the changes in time and their consequences for color appearance and constancy, the spatial variations of local illumination color in natural scenes have received relatively little attention. The aim of the present work was to characterize these spatial variations by spectral imaging. Hyperspectral radiance images were obtained from 30 rural and urban scenes in which neutral probe spheres were embedded. The spectra of the local illumination at 17 sample points on each sphere in each scene were extracted and a total of 1904 chromaticity coordinates and correlated color temperatures (CCTs) derived. Maximum differences in chromaticities over spheres and over scenes were similar. When data were pooled over scenes, CCTs ranged from 3000 K to 20,000 K, a variation of the same order of magnitude as that occurring over the day. Any mechanisms that underlie stable surface color perception in natural scenes need to accommodate these large spatial variations in local illumination color.por
dc.description.sponsorshipThis work was supported by the Centro de Física of Minho University, Braga, Portugal, by the European Regional Development Fund through Program COMPETE (FCOMP-01-0124-FEDER-009858/029564), by the National Portuguese funds through Fundação para a Ciência e a Tecnologia, Portugal (Grants PTDC/EEA-EEL/098572/2008 and PTDC/MHC-PCN/4731/2012), and by the Engineering and Physical Sciences Research Council, United Kingdom (Grants GR/R39412/01, EP/B000257/1 and EP/E056512/1). We thank Paulo D. A. Pinto and João M. M. Linhares for collaboration in the acquisition of hyperspectral data of some scenes and Paulo D. A. Pinto for the preparation of the gray spheres.por
dc.language.isoengpor
dc.publisherElsevier 1por
dc.relationinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/98572/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/5876-PPCDTI/131735/PTpor
dc.relationinfo:eu-repo/grantAgreement/FCT/COMPETE/131735/PTpor
dc.rightsopenAccesspor
dc.subjectColor Visionpor
dc.subjectHumanspor
dc.subjectVisual Perceptionpor
dc.subjectLightpor
dc.subjectLightingpor
dc.subjectNatural scenespor
dc.subjectColor constancypor
dc.subjectIllumination variationpor
dc.subjectHyperspectral imagingpor
dc.subjectCorrelated color temperaturepor
dc.titleSpatial distributions of local illumination color in natural scenespor
dc.typearticlepor
dc.peerreviewedyespor
sdum.publicationstatusinfo:eu-repo/semantics/publishedVersionpor
oaire.citationStartPage39-44por
oaire.citationEndPage44por
oaire.citationTitleVision Researchpor
oaire.citationVolume120por
dc.identifier.doi10.1016/j.visres.2015.07.005por
dc.identifier.pmid26291072por
dc.subject.fosCiências Naturais::Ciências Físicaspor
dc.subject.wosScience & Technologypor
dc.subject.wosSocial Sciencespor
sdum.journalVision Researchpor
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