蒙皮
子空间拓扑
解算器
计算机科学
特征向量
算法
参数化复杂度
线性子空间
应用数学
数学
数学优化
人工智能
几何学
物理
量子力学
生物
生态学
作者
Otman Benchekroun,Jiayi Eris Zhang,Siddartha Chaudhuri,Eitan Grinspun,Yi Zhou,Alec Jacobson
摘要
We propose a reduced-space elastodynamic solver that is well suited for augmenting rigged character animations with secondary motion. At the core of our method is a novel deformation subspace based on Linear Blend Skinning that overcomes many of the shortcomings prior subspace methods face. Our skinning subspace is parameterized entirely by a set of scalar weights, which we can obtain through a small, material-aware and rig-sensitive generalized eigenvalue problem. The resulting subspace can easily capture rotational motion and guarantees that the resulting simulation is rotation equivariant. We further propose a simple local-global solver for linear co-rotational elasticity and propose a clustering method to aggregate per-tetrahedra nonlinear energetic quantities. The result is a compact simulation that is fully decoupled from the complexity of the mesh.
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