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http://dx.doi.org/10.5392/JKCA.2011.11.9.001

Real Time Textile Animation Using Fuzzy Inference  

Hwang, Seon-Min (한국기술교육대학교)
Song, Bok-Hee (한국기술교육대학교)
Yun, Han-Kyung (한국기술교육대학교)
Publication Information
The Journal of the Korea Contents Association / v.11, no.9, 2011 , pp. 1-8 More about this Journal
Abstract
A fuzzy inference technique for real-time textile animation without integration at textile model based Mass-Spring model is introduced. Until now many techniques have used the Mass-Spring model to describe elastically deformable objects like textile. A textile object is able to represent as a deformable surface composed of spring and masses, the movement of textile surface which is analysed through the numerical integration by the fundamental law of dynamics such as Hooke's law. However, the integration methods have 'instability problems' if the explicit Euler's method is applied or 'large amounts of calculation' if the implicit Euler's method is applied. A simple and fast animation technique for Mass-Spring model of a textile with fuzzy inference is proposed. The stabilized simulation result is obtained the state of each mass-point in real-time for the n of mass-points by a relatively simple calculation.
Keywords
Fuzzy Inference; Textile Animation; Mass-Spring; Linear System; Real-Time Processing;
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