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dc.contributor.authorLindemeier, Thomasen_US
dc.contributor.authorGülzow, J. Marvinen_US
dc.contributor.authorDeussen, Oliveren_US
dc.contributor.editorBeck, Fabian and Dachsbacher, Carsten and Sadlo, Filipen_US
dc.date.accessioned2018-10-10T04:52:19Z
dc.date.available2018-10-10T04:52:19Z
dc.date.issued2018
dc.identifier.isbn978-3-03868-072-7
dc.identifier.urihttps://doi.org/10.2312/vmv.20181263
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vmv20181263
dc.description.abstractWe present a painterly rendering method for digital painting systems as well as visual feedback based painting machines that automatically extracts color palettes from images and computes mixture recipes for these from a set of real base paint colors based on the Kubelka-Munk theory. In addition, we present a new algorithm for distributing stroke candidates, which creates paintings with sharp details and contrasts. Our system is able to predict dry compositing of thinned or thick paint colors using an evaluation scheme based on example data collected from a calibration step and optical blending. We show results generated using a software stroke-based renderer and a painting machine.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectNon
dc.subjectphotorealistic rendering
dc.subjectImage manipulation
dc.subjectApplied computing
dc.subjectPerforming arts
dc.titlePainterly Rendering using Limited Paint Color Palettesen_US
dc.description.seriesinformationVision, Modeling and Visualization
dc.description.sectionheadersJoint Session with GCPR II
dc.identifier.doi10.2312/vmv.20181263
dc.identifier.pages135-145


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  • VMV18
    ISBN 978-3-03868-072-7

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