Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)

Constraint Solving Order in Position Based Dynamics

Authors
Yufeng Gu, Kejian Yang, Cong Lu
Corresponding Author
Yufeng Gu
Available Online April 2017.
DOI
10.2991/eame-17.2017.46How to use a DOI?
Keywords
position based dynamics; cloth modelling; constraint order
Abstract

In order to solve the problem that the adjustment sequence depends only on the data structure in the process of constraint satisfaction, a method of propagating from the fixed points is proposed. The method analyzes the internal force of fabrics in the real world, sorts the particles in ascending order according to the distance from the mass to the fixed points by using the breadth-first search method. The experimental results show that applying the proposed method to the position based dynamics simulation of cloth can converge faster and improve the simulation efficiency.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
10.2991/eame-17.2017.46
ISSN
2352-5401
DOI
10.2991/eame-17.2017.46How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yufeng Gu
AU  - Kejian Yang
AU  - Cong Lu
PY  - 2017/04
DA  - 2017/04
TI  - Constraint Solving Order in Position Based Dynamics
BT  - Proceedings of the 2017 2nd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2017)
PB  - Atlantis Press
SP  - 191
EP  - 194
SN  - 2352-5401
UR  - https://doi.org/10.2991/eame-17.2017.46
DO  - 10.2991/eame-17.2017.46
ID  - Gu2017/04
ER  -