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An Efficient Physically-Based Model for Chinese Brush.

Authors :
Hutchison, David
Kanade, Takeo
Kittler, Josef
Kleinberg, Jon M.
Mattern, Friedemann
Mitchell, John C.
Naor, Moni
Nierstrasz, Oscar
Pandu Rangan, C.
Steffen, Bernhard
Sudan, Madhu
Terzopoulos, Demetri
Tygar, Doug
Vardi, Moshe Y.
Weikum, Gerhard
Preparata, Franco P.
Qizhi Fang
Bendu Bai
Kam-Wah Wong
Yanning Zhang
Source :
Frontiers in Algorithmics; 2007, p261-270, 10p
Publication Year :
2007

Abstract

This paper presents a novel physically-based model for virtual Chinese brush. Compared with previous works, the main advantage of our method lies in the use of physically based modeling methods that describe the behavior of the real brush's deformation in terms of the interaction of the external and internal forces with the virtual writing paper. Instead of simulating the brush using bristles, we use points to simulate the whole brush bundle, which can drastically decrease the complexity inherent in the conventional bristle-level approach. A spring network is derived to calculate the physical deflection of brush according to the force exerted on it. With this model, we can get a more effective simulation of real brush painting. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISBNs :
9783540738138
Database :
Complementary Index
Journal :
Frontiers in Algorithmics
Publication Type :
Book
Accession number :
33151838
Full Text :
https://doi.org/10.1007/978-3-540-73814-5_25