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FastLSM: Fast
Lattice Shape Matching
for Robust Real-Time Deformation
Alec
Rivers��������
Doug James
Cornell University |

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Abstract |
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We introduce a simple technique that enables
robust approximation of volumetric,
large-deformation dynamics for real-time or
large-scale offline simulations. We propose
Lattice Shape Matching, an extension
of deformable shape matching to regular
lattices with embedded geometry; lattice
vertices are smoothed by convolution of
rigid shape matching operators on local
lattice regions, with the effective
mechanical stiffness specified by the amount
of smoothing via region width. Since the
naive method can be very slow for stiff
models � per-vertex costs scale cubically
with region width � we provide a fast
summation algorithm, Fast Lattice Shape
Matching (FastLSM), that exploits the
inherent summation redundancy of shape
matching and can provide large-region
matching at constant per-vertex cost. With
this approach, large lattices can be
simulated in linear time. We present several
examples and benchmarks of an efficient CPU
implementation, including many dozens of
soft bodies simulated at real-time rates on
a typical desktop machine. |
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Citation |
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Alec R. Rivers, Doug L. James: FastLSM: Fast
Lattice Shape Matching for Robust Real-Time
Deformation ACM Transactions on Graphics
(SIGGRAPH 2007), to appear |
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Paper |
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Presentation |
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Demos |
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3D demo: A simple 3D
demo, with few controls. No source
code.
(9 MB) |
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Video |
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Images |
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� 2007 Alec Rivers, Doug James |
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