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dc.contributor.authorBrok, Dennis denen_US
dc.contributor.authorSteinhausen, Heinz Christianen_US
dc.contributor.authorKlein, Reinharden_US
dc.contributor.editorDavid Bommes and Tobias Ritschel and Thomas Schultzen_US
dc.description.abstractThere is tremendous demand for digital representations that allow for materials to be re-lit under as wide a range of illumination scenarios as possible. It is therefore desirable to capture the entire dynamic range of a material's appearance. This process can require excessive shutter times for many materials that reflect only small amounts of light for certain lighting and viewing directions, for instance in the presence of low albedo or self-shadowing. The problem is amplified in the case of image-based appearance models such as the bidirectional texture function (BTF), where possibly many thousands of images are required to accurately sample high-frequency details in the angular domain. We propose to capture material BTFs with their dynamic range compressed by multiplexed illumination. We demonstrate that the signal-dependent noise associated with demultiplexing can be mitigated by means of an existing database of low-noise material BTFs. Moreover, we investigate a method to quickly create a suitable database from scratch.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.4.1 [Image Processing and Computer Vision]en_US
dc.subjectDigitization and Image Captureen_US
dc.titleFast Multiplexed Acquisition of High-dynamic-range Material Appearanceen_US
dc.description.seriesinformationVision, Modeling & Visualizationen_US

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  • VMV15
    ISBN 978-3-905674-95-8

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