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https://doi.org/10.1007/978-1-349-16212-3cs, especially the simulation of deformable models with anisotropic materials, which is less exploited in existing research. We are motivated to improve the physical realism of simulation, since many real-world objects have complex mechanical rather than isotropic properties. Both physically-based a

CRP743

https://doi.org/10.1007/978-0-387-25554-5ich fills an object domain with a uniformly sized tetrahedral mesh. This algorithm generates tetrahedra from a small set of precomputed stencils. A variant of the algorithm creates a mesh with internal grading. That is, on the boundary where high resolution is desired, the tetrahedra elements are fi

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https://doi.org/10.1007/978-3-030-88247-1irection-dependent behaviors of transversely isotropic materials can only be achieved with an additional energy function which incorporates the material preferred direction. Such an additional energy term increases the computational complexity. We introduce a .-. (CLFEM) that works directly with a c

PANEL

Multi-Professional Learning for Nursesnd a frame construction tool is developed for users to define the desired material properties. A quaternion Laplacian smoothing algorithm is designed for propagating the user-defined sparsely distributed frames into the entire object. The orthotropic frame-field is coupled with the CLFEM model to co

AWL

https://doi.org/10.1007/978-1-349-19399-8 skinning techniques suffer from obvious volume distortion artifact, and they cannot produce secondary dynamic motions, such as . effects. .-. with FEM models has high computational cost that restricts its practical applications. To solve these problems, we introduce a strain-based . (PBD) framework

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DEMUR

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Mesh Representation of Deformable Models,riant of the algorithm creates a mesh with internal grading. That is, on the boundary where high resolution is desired, the tetrahedra elements are fine and uniformly sized; and in the interior, the tetrahedron may be coarser and vary in size.