Art-Based Rendering and Example-Based Synthesis - Lee, Jiunn-Shyan
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This book introduces new algorithms for computer-generated non-photorealistic images that look like hand-made paintings. Two art-based rendering algorithms are developed: Ink Diffusion Synthesis and Impressionist Line Integral Convolution. We present a physically-based model combined with fibrous paper structures to synthesize the ink diffusion effect. ILIC generates images in the Impressionist style and constructing an interactive walkthrough system that provides an immersion experience rendered in painting styles. Then, we explore a patch-based sampling algorithm for texture synthesis and…mehr

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Produktbeschreibung
This book introduces new algorithms for computer-generated non-photorealistic images that look like hand-made paintings. Two art-based rendering algorithms are developed: Ink Diffusion Synthesis and Impressionist Line Integral Convolution. We present a physically-based model combined with fibrous paper structures to synthesize the ink diffusion effect. ILIC generates images in the Impressionist style and constructing an interactive walkthrough system that provides an immersion experience rendered in painting styles. Then, we explore a patch-based sampling algorithm for texture synthesis and transfer denoted as Example-Based Texture Synthesis. Here we propose a novel texture synthesis framework to tackle the problem of displacement textures.
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Autorenporträt
Jiunn-Shyan Lee is an assistant professor in department of Digital Media Design, Hsiuping University of Science and Technology, Taiwan. He received a PhD degree in Computer Science from National Chung-Hsing University. His research interests are in computer graphics and non-photorealistic rendering.