Image stylization with a painting machine using semantic hints

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• 作者：Thomas Lindemeier ; ^{thomas.lindemeier@uni-konstanz.de} ; Sö ; ren Pirk ^{soeren.pirk@uni-konstanz.de} ; Oliver Deussen ^{oliver.deussen@uni-konstanz.de}
• 关键词：Non-photorealistic rendering ; Painterly rendering ; Painting machine ; Visual feedback ; Image stylization
• 刊名：Computers and Graphics
• 出版年：2013
• 出版时间：August, 2013
• 年：2013
• 卷：37
• 期：5
• 页码：293-301
• 全文大小：5854 K

文摘

In 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 and their semantics-driven combination 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 these methods are discussed and results are shown.