Fuzzy inference of textile animation based on Mass-Spring model
Seon-Min Hwang, Bok-Hee Song, Han-Kyung Yun · 2011
A fuzzy inference technique for real-time textile animation without integration at textile model based Mass-Spring system 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 analyzed 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-points in real-time for the n of mass-points by a relatively simple calculation.