Compact and intuitive data-driven BRDF models

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dc.authorscopusid57191052008
dc.authorscopusid16426648500
dc.authorscopusid36457678200
dc.authorscopusid36351915500
dc.contributor.authorTongbuasirilai T.
dc.contributor.authorUnger J.
dc.contributor.authorKronander J.
dc.contributor.authorKurt M.
dc.date.accessioned2023-01-12T20:22:24Z
dc.date.available2023-01-12T20:22:24Z
dc.date.issued2020
dc.departmentN/A/Departmenten_US
dc.description.abstractMeasured materials are rapidly becoming a core component in the photo-realistic image synthesis pipeline. The reason is that data-driven models can easily capture the underlying, fine details that represent the visual appearance of materials, which can be difficult or even impossible to model by hand. There are, however, a number of key challenges that need to be solved in order to enable efficient capture, representation and interaction with real materials. This paper presents two new data-driven BRDF models specifically designed for 1D separability. The proposed 3D and 2D BRDF representations can be factored into three or two 1D factors, respectively, while accurately representing the underlying BRDF data with only small approximation error. We evaluate the models using different parameterizations with different characteristics and show that both the BRDF data itself and the resulting renderings yield more accurate results in terms of both numerical errors and visual results compared to previous approaches. To demonstrate the benefit of the proposed factored models, we present a new Monte Carlo importance sampling scheme and give examples of how they can be used for efficient BRDF capture and intuitive editing of measured materials. © 2019, The Author(s).en_US
dc.description.sponsorship2015/BİL/043; Vetenskapsrådet, VR: VR-2015-05180; Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK: 115E203en_US
dc.description.sponsorshipThis work was supported by the Swedish Science Council through grant VR-2015-05180, the strategic research environment ELLIIT, the Scientific and Technical Research Council of Turkey (Project No: 115E203), and the Scientific Research Projects Directorate of Ege University (Project No: 2015/BİL/043).en_US
dc.identifier.doi10.1007/s00371-019-01664-z
dc.identifier.endpage872en_US
dc.identifier.issn01782789
dc.identifier.issn0178-2789en_US
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-85065589862en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage855en_US
dc.identifier.urihttps://doi.org/10.1007/s00371-019-01664-z
dc.identifier.urihttps://hdl.handle.net/11454/79446
dc.identifier.volume36en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofVisual Computeren_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectComputer graphicsen_US
dc.subjectReflectance modelingen_US
dc.subjectRenderingen_US
dc.subjectComputer graphicsen_US
dc.subjectImportance samplingen_US
dc.subjectApproximation errorsen_US
dc.subjectData-driven modelen_US
dc.subjectFactored modelsen_US
dc.subjectNumerical errorsen_US
dc.subjectPhoto realistic image synthesisen_US
dc.subjectReflectance modelen_US
dc.subjectRenderingen_US
dc.subjectVisual appearanceen_US
dc.subjectRendering (computer graphics)en_US
dc.titleCompact and intuitive data-driven BRDF modelsen_US
dc.typeArticleen_US

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