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dc.contributor.authorGigilashvili, Davit
dc.contributor.authorUrban, Philipp
dc.contributor.authorThomas, Jean-Baptiste
dc.contributor.authorHardeberg, Jon Yngve
dc.contributor.authorPedersen, Marius
dc.date.accessioned2020-01-27T13:34:04Z
dc.date.available2020-01-27T13:34:04Z
dc.date.created2019-12-05T11:11:04Z
dc.date.issued2019
dc.identifier.citationFinal program and proceedings (Color and Imaging Conference). 2019, 132-137.nb_NO
dc.identifier.issn2166-9635
dc.identifier.urihttp://hdl.handle.net/11250/2638105
dc.description.abstractTranslucency is one of the major appearance attributes. Apparent translucency is impacted by various factors including object shape and geometry. Despite general proposals that object shape and geometry have a significant effect on apparent translucency, no quantification has been made so far. Quantifying and modeling the impact of geometry, as well as comprehensive understanding of the translucency perception process, are a point of not only academic, but also industrial interest with 3D printing as an example among many. We hypothesize that a presence of thin areas in the object facilitates material translucency estimation and changes in material properties have larger impact on apparent translucency of the objects with thin areas. Computergenerated images of objects with various geometry and thickness have been used for a psychophysical experiment in order to quantify apparent translucency difference between objects while varying material absorption and scattering properties. Finally, absorption and scattering difference thresholds where the human visual system starts perceiving translucency difference need to be identified and its consistency needs to be analyzed across different shapes and geometries.nb_NO
dc.language.isoengnb_NO
dc.publisherSociety for Imaging Science and Technologynb_NO
dc.titleImpact of Shape on Apparent Translucency Differencesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber132-137nb_NO
dc.source.journalFinal program and proceedings (Color and Imaging Conference)nb_NO
dc.identifier.doihttps://doi.org/10.2352/issn.2169-2629.2019.27.25
dc.identifier.cristin1757037
dc.description.localcodeThis article will not be available due to copyright restrictions (c) 2019 by Society for Imaging Science and Technologynb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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