Interactive knowledge integration in 3d cloth animation with intelligent learning system

Authors:
Chen Yujun;Wang Jiaxin;Yang Zehong;Song Yixu
Affiliations:
State Key Laboratory of Intelligent Technology and System, Department of Computer Science and Technology, Tsinghua University, Beijing, China;State Key Laboratory of Intelligent Technology and System, Department of Computer Science and Technology, Tsinghua University, Beijing, China;State Key Laboratory of Intelligent Technology and System, Department of Computer Science and Technology, Tsinghua University, Beijing, China;State Key Laboratory of Intelligent Technology and System, Department of Computer Science and Technology, Tsinghua University, Beijing, China
Venue:
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Year:
2006

Citing 2
Cited 0

Elastically deformable models

SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Estimating cloth simulation parameters from video

Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we focus on the parameter identification problem, one of the most essential problems in the 3D cloth animation created by multimedia software. We present a novel interactive parameter identification framework which integrates the industry knowledge. The essential of this paper is that we design a hybrid intelligent learning system using statistical analysis of kawabata evaluation system(KES) data from fabric industry database, fuzzy system and radial basis function(RBF) neural networks. By adopting our method the 3D cloth animator can interactively identify the parameters of cloth simulation with subjective linguistic variables while in the past decades it is very difficult for cloth animators to tune the parameters. We solve the 3D cloth parameter problem using the intelligent knowledge integration method for the first time in the multimedia and graphics research area and our method is applied to the most popular 3D tool Maya. The experimental results illustrate the practicability and expansibility of this method.