Art-Based Rendering and Example-Based Synthesis - Jiunn-Shyan Lee
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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 co ... Visas aprašymas
Aprašymas
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.
Daugiau informacijos
| Autorius | Jiunn-Shyan Lee |
|---|---|
| Leidėjas | ¿¿¿¿¿¿¿ |
| Išleidimo metai | 2017 |
| Viršelio tipas | Minkšti viršeliai |
| EAN | 9783330820807 |