Volume 5, Issue 1
Combination of Implicit Integration and Collision Response for Cloth Simulation

Hongyan Liu, Yueqi Zhong & Shanyuan Wang

Journal of Fiber Bioengineering & Informatics, 5 (2012), pp. 59-65.

Published online: 2012-05

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  • Abstract

This paper implements efficient techniques for cloth simulation in the area of cloth model, numerical integration, collision detection and response. The whole procedure combines the accurate bending model with implicit integration and collision response. Collision response remains a serious difficulty in cloth simulation, especially with implicit integration. We propose a general scheme that integrates collision response into implicit models recovering most of the nice draping movements of the cloth. Collision detection between human body and cloth is accelerated by Axis Aligned Bounding Box (AABB). A cloth draped on a human model is tested for the combined techniques we put forward. Experimental results reveal that this procedure is suitable for the accurate cloth simulation which preserves folds and wrinkles. The scheme that combines implicit integration and two-stage collision response is efficient for cloth simulation.

  • Keywords

Implicit Integration Collision Response Combination Cloth Simulation

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COPYRIGHT: © Global Science Press

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@Article{JFBI-5-59, author = {}, title = {Combination of Implicit Integration and Collision Response for Cloth Simulation}, journal = {Journal of Fiber Bioengineering and Informatics}, year = {2012}, volume = {5}, number = {1}, pages = {59--65}, abstract = {This paper implements efficient techniques for cloth simulation in the area of cloth model, numerical integration, collision detection and response. The whole procedure combines the accurate bending model with implicit integration and collision response. Collision response remains a serious difficulty in cloth simulation, especially with implicit integration. We propose a general scheme that integrates collision response into implicit models recovering most of the nice draping movements of the cloth. Collision detection between human body and cloth is accelerated by Axis Aligned Bounding Box (AABB). A cloth draped on a human model is tested for the combined techniques we put forward. Experimental results reveal that this procedure is suitable for the accurate cloth simulation which preserves folds and wrinkles. The scheme that combines implicit integration and two-stage collision response is efficient for cloth simulation.}, issn = {2617-8699}, doi = {https://doi.org/10.3993/jfbi03201205}, url = {http://global-sci.org/intro/article_detail/jfbi/4861.html} }
TY - JOUR T1 - Combination of Implicit Integration and Collision Response for Cloth Simulation JO - Journal of Fiber Bioengineering and Informatics VL - 1 SP - 59 EP - 65 PY - 2012 DA - 2012/05 SN - 5 DO - http://doi.org/10.3993/jfbi03201205 UR - https://global-sci.org/intro/article_detail/jfbi/4861.html KW - Implicit Integration KW - Collision Response KW - Combination KW - Cloth Simulation AB - This paper implements efficient techniques for cloth simulation in the area of cloth model, numerical integration, collision detection and response. The whole procedure combines the accurate bending model with implicit integration and collision response. Collision response remains a serious difficulty in cloth simulation, especially with implicit integration. We propose a general scheme that integrates collision response into implicit models recovering most of the nice draping movements of the cloth. Collision detection between human body and cloth is accelerated by Axis Aligned Bounding Box (AABB). A cloth draped on a human model is tested for the combined techniques we put forward. Experimental results reveal that this procedure is suitable for the accurate cloth simulation which preserves folds and wrinkles. The scheme that combines implicit integration and two-stage collision response is efficient for cloth simulation.
Hongyan Liu, Yueqi Zhong & Shanyuan Wang. (2019). Combination of Implicit Integration and Collision Response for Cloth Simulation. Journal of Fiber Bioengineering and Informatics. 5 (1). 59-65. doi:10.3993/jfbi03201205
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