Hyper-reduced projective dynamics

Journal Article (2018)
Author(s)

Christopher Brandt (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Elmar Eisemann (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Klaus Hildebrandt (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Research Group
Computer Graphics and Visualisation
DOI related publication
https://doi.org/10.1145/3197517.3201387 Final published version
More Info
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Publication Year
2018
Language
English
Research Group
Computer Graphics and Visualisation
Journal title
ACM Transactions on Graphics
Issue number
4
Volume number
37
Article number
80
Pages (from-to)
80:1 - 80:13
Downloads counter
263

Abstract

We present a method for the real-time simulation of deformable objects that combines the robustness, generality, and high performance of Projective Dynamics with the efficiency and scalability offered by model reduction techniques. The method decouples the cost for time integration from the mesh resolution and can simulate large meshes in real-time. The proposed hyper-reduction of Projective Dynamics combines a novel fast approximation method for constraint projections and a scalable construction of sparse subspace bases. The resulting system achieves real-time rates for large subspaces enabling rich dynamics and can resolve general user interactions, collision constraints, external forces and changes to the materials. The construction of the hyper-reduced system does not require user-interaction and refrains from using training data or modal analysis, which results in a fast preprocessing stage.