Browsing by Subject "position-based dynamics"
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Item Global Momentum Preservation for Position-based Dynamics(Association for Computing Machinery, 2019-10-28) Dahl, Alex; Bargteil, Adam W.Position-based dynamics has emerged as an exceedingly popular approach for animating soft body dynamics. Unfortunately, the basic approach suffers from artificial loss of angular momentum. We propose a simple approach to preserve global linear and angular momenta of bodies by directly tracking these quantities and adjusting velocities to ensure they are preserved. This approach entails negligible computational cost, requires less than 25 lines of code, and exactly preserves global linear and angular momenta.Item Strain limiting for clustered shape matching(ACM, 2014-11-06) Bargteil, Adam W.; Jones, BenIn this paper, we advocate explicit symplectic Euler integration and strain limiting in a shape matching simulation framework. The resulting approach resembles not only previous work on shape matching and strain limiting, but also the recently popular position-based dynamics. However, unlike this previous work, our approach reduces to explicit integration under small strains, but remains stable in the presence of non-linearities.