Adaptive continuous collision detection for cloth models using a skipping frame session

Sai-Keung Wong*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

We propose a novel adaptive pipeline for continuous collision detection in cloth simulation. The pipeline consists of four components: bounding volume hierarchy (BVH) update, BVH traversal, a skipping frame session, and elementary test processing. The skipping frame session is activated adaptively for skipping both BVH update and BVH traversal during the process of collision detection. The proposed method improves the performance of collision detection in simulating cloth models comparing to some existing feature-based collision detection techniques, as indicated from experimental results.

Original languageEnglish
Pages (from-to)1545-1559
Number of pages15
JournalJournal of Information Science and Engineering
Volume27
Issue number5
DOIs
StatePublished - 1 Sep 2011

Keywords

  • Cloth models
  • Computer graphics
  • Continuous collision detection
  • Deformable objects
  • Feature-based technique

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