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dc.contributor.authorDeussen, Oliveren_US
dc.contributor.authorLindemeier, Thomasen_US
dc.contributor.authorPirk, Sörenen_US
dc.contributor.authorTautzenberger, Marken_US
dc.contributor.editorDouglas Cunningham and Donald Houseen_US
dc.date.accessioned2013-10-22T07:12:44Z
dc.date.available2013-10-22T07:12:44Z
dc.date.issued2012en_US
dc.identifier.isbn978-3-905674-43-9en_US
dc.identifier.issn1816-0859en_US
dc.identifier.urihttp://dx.doi.org/10.2312/COMPAESTH/COMPAESTH12/025-033en_US
dc.description.abstractIn this paper we present and evaluate painterly rendering techniques that work within a visual feedback loop of eDavid, our painting robot. The machine aims at simulating the human painting process. Two such methods are compared for different objects. One uses a predefined set of stroke candidates, the other creates strokes directly using line integral convolution. The aesthetics of both methods are discussed, results are shown.en_US
dc.publisherThe Eurographics Associationen_US
dc.titleFeedback-guided Stroke Placement for a Painting Machineen_US
dc.description.seriesinformationComputational Aesthetics in Graphics, Visualization, and Imagingen_US


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