Automatic Rendering of 3D Animal Models in Chinese Painting Style
Author(s): Jun-Wei Yeh.
Master Thesis: National Taiwan University,
2002.
[BibTeX]
Abstract:
A set of algorithms is proposed in this paper to automatically transform 3D animal
models to Chinese painting style. Inspired by the real painting process in Chinese
painting of animals, we divide the whole rendering process into two parts: borderline
stroke making and interior shading. In borderline stroke making process we first find
3D model silhouettes in real-time depending on the viewing direction of a user. After
retrieving silhouette information from all model edges, a stroke linking mechanism is
applied to link these independent edges into a long stroke. Finally we grow a plain
thin silhouette line to a stylus stroke with various widths at each control point and a 2D brush model is combined with it to simulate a Chinese painting stroke.
In the interior shading pipeline, three stages are used to convert a
Gouraud-shaded image to a Chinese painting style image: color quantization, ink
diffusion and box filtering. The color quantization stage quantizes all pixels in an
image into four color levels and each level represents a color layer in a Chinese
painting. The ink diffusion stage is used to transfer ink and water among different
levels and to grow areas in an irregular way. The box filtering stage blurs sharp
borders among different levels to embellish the appearance of final interior shading
image. In addition to automatic rendering, an interactive Chinese painting system
which is equipped with friendly input devices can be also combined to generate more
artistic Chinese painting images manually.