A virtual 3D interactive painting method for Chinese calligraphy and painting based on real-time force feedback technology

Chao GUO , Zeng-xuan HOU , You-zhi SHI , Jun XU , Dan-dan YU

Front. Inform. Technol. Electron. Eng ›› 2017, Vol. 18 ›› Issue (11) : 1843 -1853.

PDF (867KB)
Front. Inform. Technol. Electron. Eng ›› 2017, Vol. 18 ›› Issue (11) : 1843 -1853. DOI: 10.1631/FITEE.1601283
Article
Article

A virtual 3D interactive painting method for Chinese calligraphy and painting based on real-time force feedback technology

Author information +
History +
PDF (867KB)

Abstract

A novel 3D interactive painting method for Chinese calligraphy and painting based on force feedback technology is proposed. The relationship between the force exerted on the brush and the resulting brush deformation is analyzed and a spring-mass model is used to build a model of the 3D Chinese brush. The 2D brush footprint between the brush and the plane of the paper or object is calculated according to the deformation of the 3D brush when force is exerted on the 3D brush. Then the 3D brush footprint is obtained by projecting the 2D brush footprint onto the surface of the 3D object in real time, and a complete 3D brushstroke is obtained by superimposing 3D brush footprints along the painting direction. The proposed method has been suc-cessfully applied in a virtual 3D interactive drawing system based on force feedback technology. In this system, users can paint 3D brushstrokes in real time with a Phantom Desktop haptic device, which can effectively serve as a virtual reality interface to the simulated painting environment for users.

Keywords

3D brush model / 3D brushstroke / 3D interactive painting / Real-time force feedback technology

Cite this article

Download citation ▾
Chao GUO, Zeng-xuan HOU, You-zhi SHI, Jun XU, Dan-dan YU. A virtual 3D interactive painting method for Chinese calligraphy and painting based on real-time force feedback technology. Front. Inform. Technol. Electron. Eng, 2017, 18(11): 1843-1853 DOI:10.1631/FITEE.1601283

登录浏览全文

4963

注册一个新账户 忘记密码

References

RIGHTS & PERMISSIONS

Zhejiang University and Springer-Verlag GmbH Germany

AI Summary AI Mindmap
PDF (867KB)

Supplementary files

FITEE-1843-17014-CG_suppl_1

FITEE-1843-17014-CG_suppl_2

1894

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/