Simulating Rapunzel's hair in Disney's
            <i>Tangled</i>

Ward, Kelly; Simmons, Maryann; Milne, Andy; Yosumi, Hidetaka; Zhao, Xuelong

doi:10.1145/1837026.1837055

Cited by 6 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To the best of our knowledge, other approaches in Computer Graphics that have attempted to model fiber assemblies have relied on penalty forces for modeling contact [Kaldor et al 2008;Harmon et al 2009;Ward et al 2010;Kaldor et al 2010], sometimes combined with an explicit treatment of static friction that is not accurate enough to automatically capture the subtle effects emerging from the true Coulomb friction model.…”

Section: Prior Workmentioning

confidence: 99%

A hybrid iterative solver for robustly capturing coulomb friction in hair dynamics

DavietGilles

Bertails-DescoubesFlorence

BoissieuxLaurence

2011

ACM Trans. Graph.

View full text Add to dashboard Cite

Dry friction between hair fibers plays a major role in the collective hair dynamic behavior as it accounts for typical nonsmooth features such as stick-slip instabilities. However, due the challenges posed by the modeling of nonsmooth friction, previous mechanical models for hair either neglect friction or use an approximate smooth friction model, thus losing important visual features. In this paper we present a new generic robust solver for capturing Coulomb friction in large assemblies of tightly packed fibers such as hair. Our method is based on an iterative algorithm where each single contact problem is efficiently and robustly solved by introducing a hybrid strategy that combines a new zero-finding formulation of (exact) Coulomb friction together with an analytical solver as a fail-safe. Our global solver turns out to be very robust and highly scalable as it can handle up to a few thousand densely packed fibers subject to tens of thousands frictional contacts at a reasonable computational cost. It can be conveniently combined to any fiber model with various rest shapes, from smooth to curly. Our results, visually validated against real hair motions, depict typical hair collective effects and greatly enhance the realism of standard hair simulators.

show abstract

Section: Prior Workmentioning

confidence: 99%