Virtual Chinese Brush

Last update: 03.05.2005

[Publications] - [Videos] - [Images]

Abstract
We develop a novel 3D brush model consisting of a skeleton and a surface, which is deformed through constrained energy minimization. The main advantage of our model over existing ones is in its ability to mimic brush flattening and bristle spreading due to brush bending and lateral friction exerted by the paper surface during the painting process. The ability to recreate such deformations is essential to realistic 3D digital painting simulations, especially in the case of Chinese brush painting and calligraphy. To further increase realism, we also model the plasticity of wetted brushes and the resistance exerted by pores on the paper surface onto the brush tip. Our implementation runs on a consumer-level PC in real-time and produces very realistic results.

See also: Digital Ink Dispersion

Publications
Nelson S.-H. Chu and C.-L. Tai, Real-time Painting with an Expressive Virtual Chinese Brush. IEEE Computer Graphics and Applications, September/October, 2004 (Vol. 24, No. 5). pp. 76-85.
Paper in PDF (971KB)

Nelson S.-H. Chu and C.-L. Tai, An Efficient Brush Model for Physically-Based 3D Painting, Proc. of Pacific Graphics 2002, Oct. 9-11, Beijing, China, IEEE Press.
Paper in PDF (753KB)
PowerPoint Presentation (2.4MB)

Promotional Materials
 . Short Description in English | Chinese(big-5)
 . Poster (486KB)

Images

Click on the images to see larger versions
Abstract Monkey More description 01.04	Best Wishes for New Year! More description 02.03	For Sylvain Paris More description 03.03
"Chinese Painting" 01.03	'Wind Cloud' (original) 05.03	After a painting by Zhao Shao Ang. 07.02 [ver.2] [Wallpaper]
Orchid 06.02	Abstract painting, influenced by Lui Shou-Kwan 04.03	After a painting by Ah Chung 07.02
Did you see my cat?	Rocks 07.02	Tortoise by David Wong 02.03
Sample Strokes	3D sensing setup	Textured brush head
All rights reserved. All paintings and calligraphy by Nelson Chu, unless stated otherwise. Our prototype is powered by these software components. This project was supported by SSRI funding during its early stage of development.