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Interactive and Reliable Collision Detection

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Interactive and Reliable Collision Detection Jae Sung Park and Dinesh Manocha http://gamma.cs.unc.edu/BSC/ Goals Our goal is to develop interactive and reliable collision detection algorithms: All collision queries must be done in a few milliseconds We don’t want to miss any collisions during the simulation We have developed two approaches: Continuous collision detection between triangulated models Sweep-based collision detection for tube-shaped objects Acknowledgements Continuous Collision Detection was done with external collaborators: Zhendong Wang, Min Tang and Ruofeng Tong from Zhejiang University Sweep-based Algorithm was done with external collaborators: Minsub Shim, Seon-Young Park, Yunku Kang and Myung-Soo Kim from Seoul National University University of North Carolina at Chapel Hill Continuous Collision Detection Sweep-based Algorithms Bernstein sign classification Tight rounding error bound Results Parametric representation of blood vessels Bounding volume hierarchy ℎ=0 ℎ=1 ℎ=2 ℎ=3 ℎ=4 Quad mesh model Results Benchmarks Sweep-based model #roots 1 0 2 1 0 Divide at inflection point #roots 1 2 Benefits Sponsors Can perform CCD queries between complex models in a few milliseconds Can be parallelized on multicore CPUs and manycore GPUs Reliably queries all configurations and w.r.t numerical issues More than an order of magnitude faster than prior methods Used for cloth and FEM simulations Perform collision detection queries between sweep-based models in a few milliseconds Tight fitting bounding volume hierarchy computation Low memory requirements Used for realtime animation of deformable models Benefits
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Interactive and Reliable Collision DetectionJae Sung Park and Dinesh Manocha

http://gamma.cs.unc.edu/BSC/

GoalsOur goal is to develop interactive and reliable collision detection algorithms:• All collision queries must be done in a few milliseconds• We don’t want to miss any collisions during the simulation

We have developed two approaches:• Continuous collision detection between triangulated models• Sweep-based collision detection for tube-shaped objects

AcknowledgementsContinuous Collision Detection was done with external collaborators:• Zhendong Wang, Min Tang and Ruofeng Tong from Zhejiang

UniversitySweep-based Algorithm was done with external collaborators:• Minsub Shim, Seon-Young Park, Yunku Kang and Myung-Soo Kim

from Seoul National University

University of North Carolina at Chapel Hill

Continuous Collision Detection

Sweep-based Algorithms

Bernstein sign classification

Tight rounding error bound

Results

Parametric representation of blood vessels

Bounding volume hierarchy

ℎ = 0

ℎ = 1

ℎ = 2

ℎ = 3

ℎ = 4

Quad mesh model

ResultsBenchmarks

Sweep-based model#roots

1

0

2

1

0Divide at

inflection point

#roots

1

2

Benefits

Sponsors

• Can perform CCD queries between complex models in a few milliseconds• Can be parallelized on multicore CPUs and manycore GPUs• Reliably queries all configurations and w.r.t numerical issues• More than an order of magnitude faster than prior methods• Used for cloth and FEM simulations

• Perform collision detection queries between sweep-based models in a few milliseconds

• Tight fitting bounding volume hierarchy computation• Low memory requirements• Used for realtime animation of deformable models

Benefits

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