Jove
Visualize
Contact Us

Related Experiment Videos

Dynamic interaction between deformable surfaces and nonsmooth objects.

Wingo Sai-Keung Wong1, George Baciu

  • 1Department of Computing, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong.

IEEE Transactions on Visualization and Computer Graphics
|May 5, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Temporal-Interim Pose Synthesis and Distillation for Dynamic Human Pose Estimation.

IEEE transactions on neural networks and learning systems·2025
Same author

DSANet: Dynamic and Structure-Aware GCN for Sparse and Incomplete Point Cloud Learning.

IEEE transactions on neural networks and learning systems·2024
Same author

DDLVis: Real-time Visual Query of Spatiotemporal Data Distribution via Density Dictionary Learning.

IEEE transactions on visualization and computer graphics·2021
Same author

HSGAN: Hierarchical Graph Learning for Point Cloud Generation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2021
Same author

SG-GAN: Adversarial Self-Attention GCN for Point Cloud Topological Parts Generation.

IEEE transactions on visualization and computer graphics·2021
Same author

StreamMap: Smooth Dynamic Visualization of High-Density Streaming Points.

IEEE transactions on visualization and computer graphics·2017
Same journal

MesoSplats: Texture Synthesis with Gaussian Splatting.

IEEE transactions on visualization and computer graphics·2026
Same journal

GLLA: A Unified Force-Directed Graph Layout Framework Supporting Local Adjustments.

IEEE transactions on visualization and computer graphics·2026
Same journal

Multi-Perception Crowd: Learning to combine entity and implicit perception for diverse crowd simulation.

IEEE transactions on visualization and computer graphics·2026
Same journal

Hiding in Plain Sight: Camouflaging Real-world Objects.

IEEE transactions on visualization and computer graphics·2026
Same journal

RTF2Mesh: Restricted Tangent Face Based Mesh Compression With Neural Displacement Fields.

IEEE transactions on visualization and computer graphics·2026
Same journal

Practical Occluder Generation for Mobile Games.

IEEE transactions on visualization and computer graphics·2026
See all related articles
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

This study introduces novel computational techniques for simulating sharp object and deformable surface interactions. New methods significantly improve collision detection performance and ensure penetration-free motion, enhancing simulation accuracy.

Area of Science:

  • Computational physics
  • Computer graphics
  • Geometric modeling

Background:

  • Simulating interactions between rigid and deformable objects is computationally intensive.
  • Existing methods struggle with accuracy and performance for sharp object-deformable surface contact.
  • Efficient collision detection is crucial for real-time simulations.

Purpose of the Study:

  • To develop advanced computational techniques for enhancing the performance of sharp object-deformable surface interactions.
  • To introduce a novel formulation for improved collision detection and penetration avoidance.
  • To reduce computational complexity in dynamic simulations.

Main Methods:

  • A time-domain predictor-corrector model is employed.
  • A new type of (pi, beta, I)-surface is defined for surface partitioning.

Related Experiment Videos

  • Collision detection is performed intrinsically in the time domain.
  • A penetration-free motion space is constructed for colliding particles.
  • Static analysis is used to handle friction.
  • Main Results:

    • Significant performance improvements in collision detection through efficient pruning of non-colliding pairs.
    • Avoidance of surface interpenetration within a single time step.
    • Guaranteed penetration-free motion for subsequent steps by constraining particle velocities.
    • Reduced computational complexity by eliminating the need for repulsive force calculations.

    Conclusions:

    • The proposed techniques offer substantial performance gains for simulating sharp object-deformable surface interactions.
    • The novel (pi, beta, I)-surface formulation and time-domain collision detection enhance simulation accuracy and stability.
    • This approach provides an efficient and robust method for complex dynamic simulations.