Brok, Dennis denWeinmann, MichaelKlein, ReinhardReinhard Klein and Holly Rushmeier2017-09-212017-09-212017978-3-03868-035-22309-5059https://doi.org/10.2312/mam.20171326https://diglib.eg.org:443/handle/10.2312/mam20171326We 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.I.4.1 [Image Processing and Computer Vision]Digitization and Image CaptureReflectance10.2312/mam.2017132617-20