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dc.contributor.authorSole, Aditya Suneel
dc.contributor.authorFarup, Ivar
dc.contributor.authorNussbaum, Peter
dc.contributor.authorTominaga, Shoji
dc.date.accessioned2019-02-14T08:43:01Z
dc.date.available2019-02-14T08:43:01Z
dc.date.created2018-11-20T11:18:10Z
dc.date.issued2018
dc.identifier.citationJournal of Imaging. 2018, 4 (11), .nb_NO
dc.identifier.issn2313-433X
dc.identifier.urihttp://hdl.handle.net/11250/2585365
dc.description.abstractMaterials with a complex visual appearance, like goniochromatic or non-diffuse, are widely used for the packaging industry. Measuring optical properties of such materials requires a bidirectional approach, and therefore, it is difficult and time consuming to characterize such a material. We investigate the suitability of using an image-based measurement setup to measure materials with a complex visual appearance and model them using two well-established reflection models, Cook–Torrance and isotropic Ward. It was learned that the complex materials typically used in the print and packaging industry, similar to the ones used in this paper, can be measured bidirectionally using our measurement setup, but with a noticeable error. Furthermore, the performance of the reflection models used in this paper shows big errors colorimetrically, especially for the goniochromatic material measured.nb_NO
dc.language.isoengnb_NO
dc.publisherMDPInb_NO
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleBidirectional Reflectance Measurement and Reflection Model Fitting of Complex Materials Using an Image-Based Measurement Setupnb_NO
dc.title.alternativeBidirectional Reflectance Measurement and Reflection Model Fitting of Complex Materials Using an Image-Based Measurement Setupnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber16nb_NO
dc.source.volume4nb_NO
dc.source.journalJournal of Imagingnb_NO
dc.source.issue11nb_NO
dc.identifier.doihttps://doi.org/10.3390/jimaging4110136
dc.identifier.cristin1632532
dc.description.localcode(C) 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).nb_NO
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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