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Image-based collision detection for deformable cloth models.

George Baciu1, Wingo Sai-Keung Wong

  • 1Department of Computing, The Hong Kong Polytechnic University, hong Hum, Kowloon, Hong Kong. csgeorge@comp.polyu.edu.hk

IEEE Transactions on Visualization and Computer Graphics
|November 6, 2004
PubMed
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This study presents an efficient method for real-time cloth collision detection in 3D environments. It significantly speeds up simulations by using image-based tests and bounding box hierarchies for deformable surfaces.

Area of Science:

  • Computer Graphics
  • Computational Physics
  • Virtual Reality

Background:

  • Cloth simulation in 3D environments is computationally intensive due to numerous contact points and self-collisions.
  • Interactive applications like games demand efficient collision detection for deformable materials.

Purpose of the Study:

  • To develop an efficient collision detection method for highly deformable cloth surfaces.
  • To achieve interactive rates for tracking self-interactions in complex cloth simulations.

Main Methods:

  • Utilized mathematically defined smoothness conditions on deformable surfaces.
  • Employed image-based collision detection tests with graphics hardware acceleration.
  • Developed a novel dynamic hierarchy of cloth bounding boxes for culling.

Related Experiment Videos

  • Proposed an efficient backward voxel-based AABB hierarchy for compressed surfaces.

    • Main Results:

    • Achieved interactive rates for cloth collision and self-collision detection.
    • Successfully tracked self-interactions in highly deformable surfaces with many elements.
    • Demonstrated efficiency in handling compressed deformable surfaces.

    Conclusions:

    • The proposed method offers an efficient solution for real-time cloth collision detection.
    • Leveraging graphics hardware and hierarchical bounding boxes significantly improves performance.
    • This approach is suitable for demanding interactive 3D applications.