HKUST Library Institutional Repository Banner

HKUST Institutional Repository >
Computer Science and Engineering >
CSE Conference Papers >

Please use this identifier to cite or link to this item:
Title: An efficient brush model for physically-based 3D painting
Authors: Chu, Siu-Hang
Tai, Chiew-Lan
Keywords: digital painting
3D brush model
Chinese brush painting
Chinese calligraphy
Issue Date: Oct-2002
Citation: Proc. of Pacific Graphics 2002, Oct. 9-11, Beijing, China, IEEE Press
Abstract: This paper presents 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 deformation 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 painted surface onto the brush tip. Our implementation runs on a consumer-level PC in real time and produces very realistic results.
Rights: © 2002 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
Appears in Collections:CSE Conference Papers

Files in This Item:

File Description SizeFormat
PG02.pdfpre-published version742KbAdobe PDFView/Open

All items in this Repository are protected by copyright, with all rights reserved.