Towards Sparse and Multiplexed Acquisition of Material BTFs

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dc.contributor.authorBrok, Dennis denen_US
dc.contributor.authorWeinmann, Michaelen_US
dc.contributor.authorKlein, Reinharden_US
dc.contributor.editorReinhard Klein and Holly Rushmeieren_US
dc.date.accessioned2017-09-21T07:15:06Z
dc.date.available2017-09-21T07:15:06Z
dc.date.issued2017
dc.description.abstractWe present preliminary results on our effort to combine sparse and illumination-multiplexed acquisition of bidirectional texture functions (BTFs) for material appearance. Both existing acquisition paradigms deal with a single specific problem: the desire to reduce either the number of images to be obtained while maintaining artifact-free renderings, or the shutter times required to capture the full dynamic range of a material's appearance. These problems have so far been solved by means of data-driven models. We demonstrate that the way these models are derived prevents combined sparse and multiplexed acquisition, and introduce a novel model that circumvents this obstruction. As a result, we achieve acquisition times on the order of minutes in comparison to the few hours required with sparse acquisition or multiplexed illumination.en_US
dc.description.sectionheadersResearch Group Reports
dc.description.seriesinformationWorkshop on Material Appearance Modeling
dc.identifier.doi10.2312/mam.20171326
dc.identifier.isbn978-3-03868-035-2
dc.identifier.issn2309-5059
dc.identifier.pages17-20
dc.identifier.urihttps://doi.org/10.2312/mam.20171326
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/mam20171326
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.1 [Image Processing and Computer Vision]
dc.subjectDigitization and Image Capture
dc.subjectReflectance
dc.titleTowards Sparse and Multiplexed Acquisition of Material BTFsen_US
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MAM2017: Eurographics Workshop on Material Appearance Modeling