Pose-Space Subspace Dynamics
ACM SIGGRAPH 2016

People
- Hongyi Xu
University of Southern California - Jernej Barbič
University of Southern California
Project material
- Paper (PDF, 5.4 Mb)
- Video (Quicktime MP4, 56.3 Mb)
- Presentation (Powerpoint, 87 Mb)
Citation
-
Hongyi Xu, Jernej Barbič:
Pose-Space Subspace Dynamics, ACM Transactions on Graphics 35(4)(SIGGRAPH 2016), July 2016. BIBTEX
Abstract
We enrich character animations with secondary soft-tissue Finite Element Method (FEM) dynamics computed under arbitrary rigged or skeletal motion. Our method optionally incorporates pose-space deformation (PSD). It runs at milliseconds per frame for complex characters, and fits directly into standard character animation pipelines. Our simulation method does not require any skin data capture; hence, it can be applied to humans, animals, and arbitrary (real-world or fictional) characters. In standard model reduction of three-dimensional nonlinear solid elastic models, one builds a reduced model around a single pose, typically the rest configuration. We demonstrate how to perform multi-model reduction of Finite Element Method (FEM) nonlinear elasticity, where separate reduced models are precomputed around a representative set of object poses, and then combined at runtime into a single fast dynamic system, using subspace interpolation. While time-varying reduction has been demonstrated before for offline applications, our method is fast and suitable for hard real-time applications in games and virtual reality. Our method supports self-contact, which we achieve by computing linear modes and derivatives under contact constraints.
Comments, questions to Jernej Barbič.Related projects
- Real-Time Subspace Integration for St.Venant-Kirchhoff Deformable Models
- Real-time Large-deformation Substructuring
Funding
- NSF (CAREER-1055035, IIS-1422869)
- Sloan Foundation
- Okawa Foundation
- USC Annerberg Graduate Fellowship to Hongyi Xu
Disclaimer
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
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