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Month: June 2012
SCA 2012
Full papers:
- Energetically Consistent Invertible Elasticity
- Enriching Virtual Elastic Objects with High-Resolution Data-Driven Deformations
- Controlling Liquids Using Meshes
- Mass-Conserving Eulerian Liquid Simulation
- Physically-Plausible Simulation for Character Animation
- Efficient Simulation of Example-Based Materials
- Multilinear Data-Driven Dynamic Hair Model with Efficient Hair-Body Collision Handling
- Simulating Free Surface Flow with Very Large Time Steps
- Efficient Collision Handling for Brittle Fracture
- Smoke Sheets for Graph Structured Vortex Filaments
- Multiphase Flow of Immiscible Fluids on Unstructured Moving Meshes
- Linear-Time Smoke Animation with Vortex Sheet Meshes
Short Papers:
- Real-Time Example Based Elastic Deformation
- Long Range Attachments – A Method to Simulate Inextensible Clothing in Computer Games
- The Intersection Contour Minimization Method for Untangling Oriented Deformable Surfaces
Topology Adaptive Interface Tracking Using the Deformable Simplicial Complex
Marek Misztal, Andreas Baerentzen
We present a novel, topology-adaptive method for deformable interface tracking, called the Deformable Simplicial Complex (DSC). In the DSC method, the interface is represented explicitly as a piecewise linear curve (in 2D) or surface (in 3D) which is a part of a discretization (triangulation/tetrahedralization) of the space, such that the interface can be retrieved as a set of faces separating triangles/tetrahedra marked as inside from the ones marked as outside (so it is also given implicitly). This representation allows robust topological adaptivity and, thanks to the explicit representation of the interface, it suffers only slightly from numerical diffusion. Furthermore, the use of an unstructured grid yields robust adaptive resolution. Also, topology control is simple in this setting. We present the strengths of the method in several examples: simple geometric flows, fluid simulation, point cloud reconstruction, and cut locus construction.
Topology Adaptive Interface Tracking using the Deformable Simplicial Complex
Energy-Based Self-Collision Culling for Arbitrary Mesh Deformations
Changxi Zheng, Doug James
In this paper, we accelerate self-collision detection (SCD) for a deforming triangle mesh by exploiting the idea that a mesh cannot self collide unless it deforms enough. Unlike prior work on subspace self-collision culling which is restricted to low-rank deformation subspaces, our energy-based approach supports arbitrary mesh deformations while still being fast. Given a bounding volume hierarchy (BVH) for a triangle mesh, we precompute Energy-based Self-Collision Culling (ESCC) certificates on bounding-volume-related sub-meshes which indicate the amount of deformation energy required for it to self collide. After updating energy values at runtime, many bounding-volume self-collision queries can be culled using the ESCC certificates. We propose an affine-frame Laplacian-based energy definition which sports a highly optimized certificate preprocess, and fast runtime energy evaluation. The latter is performed hierarchically to amortize Laplacian energy and affine-frame estimation computations. ESCC supports both discrete and continuous SCD with detailed and nonsmooth geometry. We demonstrate significant culling on various examples, with SCD speed-ups up to 26X.
Energy-Based Self-Collision Culling for Arbitrary Mesh Deformation