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dc.contributor.authorSteinhausen, Heinz Christianen_US
dc.contributor.authorBrok, Dennis denen_US
dc.contributor.authorHullin, Matthias B.en_US
dc.contributor.authorKlein, Reinharden_US
dc.contributor.editorDavid Bommes and Tobias Ritschel and Thomas Schultzen_US
dc.date.accessioned2015-10-07T05:13:40Z
dc.date.available2015-10-07T05:13:40Z
dc.date.issued2015en_US
dc.identifier.isbn978-3-905674-95-8en_US
dc.identifier.urihttp://dx.doi.org/10.2312/vmv.20151269en_US
dc.description.abstractIn this paper, we address the problem of acquiring bidirectional texture functions (BTFs) of large-scale material samples. Our approach fuses gonioreflectometric measurements of small samples with few constraint images taken on a flatbed scanner under semi-controlled conditions. Underlying our method is a lightweight texture synthesis scheme using a local texture descriptor that combines shading and albedo across devices. Since it operates directly on SVD-compressed BTF data, our method is computationally efficient and can be implemented on a moderate memory footprint.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectPicture/Image Generationen_US
dc.subjectDigitizing and scanningen_US
dc.subjectI.3.7 [Computer Graphics]en_US
dc.subjectThree Dimensional Graphics and Realismen_US
dc.subjectColoren_US
dc.subjectshadingen_US
dc.subjectshadowingen_US
dc.subjectand textureen_US
dc.titleExtrapolating Large-Scale Material BTFs under Cross-Device Constraintsen_US
dc.description.seriesinformationVision, Modeling & Visualizationen_US
dc.description.sectionheadersAcquisitionen_US
dc.identifier.doi10.2312/vmv.20151269en_US
dc.identifier.pages143-150en_US


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    ISBN 978-3-905674-95-8

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