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Example-Based Simulation
Wednesday, 10 August 10:45 am - 12:15 pm | East Building, Ballroom C
Session Chair: Jernej Barbič, University of Southern California
Data-Driven Elastic Models for Cloth: Modeling and Measurement
This data-driven technique to cons***ct elastic models for cloth creates a database of 10 different cloth materials, each of which exhibits distinctive elastic behaviors. These measurements can be used in simulation systems to create natural and realistic clothing wrinkles and shapes.
Huamin Wang
University of California, Berkeley
James O'Brien
University of California, Berkeley
Ravi Ramamoorthi
University of California, Berkeley
Frame-Based Elastic Models
A new type of deformable model that combines the realism of physically based models and the usability of frame-based skinning methods. The degrees of freedom are coordinate frames. Viscoelastic forces are computed based on continuous media mechanics applied to the smoothly deformed volume.
Benjamin Gilles
The University of British Columbia, INRIA
Guillaume Bousquet
Université de Grenoble, LJK, INRIA
François Faure
Université de Grenoble, LJK, INRIA
Dinesh Pai
The University of British Columbia
Example-Based Elastic Materials
This example-based approach for simulating complex elastic material behavior cons***cts an example manifold that acts as an additional elastic attractor and guides the object toward preferred shapes. It allows implementation of inhomogeneous and anisotropic materials in a direct and intuitive way.
Sebastian Martin
ETH Zürich
Bernhard Thomaszewski
Disney Research Zürich and ETH Zürich
Eitan Grinspun
Columbia University
Markus Gross
Disney Research Zürich and ETH Zürich
Sparse Meshless Models of Complex Deformable Solids
A new method to physically simulate the deformation of objects with heterogeneous material properties and complex geometries using a small number of moving frames.
François Faure
Grenoble Universités, INRIA, LJK-CNRS
Benjamin Gilles
Tecnalia, INRIA, LJK-CNRS
Guillaume Bousquet
Grenoble Universités, INRIA, LJK-CNRS
Dinesh K. Pai
The University of British Columbia
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