Fast and exact continuous collision detection with Bernstein sign classification

Abstract

We present fast algorithms to perform accurate CCD queries between triangulated models. Our formulation uses properties of the Bernstein basis and Bézier curves and reduces the problem to evaluating signs of polynomials. We present a geometrically exact CCD algorithm based on the exact geometric computation paradigm to perform reliable Boolean collision queries. Our algorithm is more than an order of magnitude faster than prior exact algorithms. We evaluate its performance for cloth and FEM simulations on CPUs and GPUs, and highlight the benefits.

Document Details

Document Type
Pub Defense Publication
Publication Date
Nov 19, 2014
Source ID
10.1145/2661229.2661237

Entities

People

  • Dinesh Manocha
  • Min Tang
  • Ruofeng Tong
  • Zhendong Wang

Organizations

  • Army Research Office
  • Chinese Academy of Sciences
  • Intel Corporation
  • Ministry of Education of the People's Republic of China
  • Ministry of Science and Technology of the People's Republic of China
  • National Institutes of Health
  • National Natural Science Foundation of China
  • Nvidia
  • University of North Carolina at Chapel Hill
  • Zhejiang University

Tags

Fields of Study

  • Computer science

Readers

  • Computational Fluid Dynamics (CFD)
  • Computer Vision.
  • Graph Algorithms and Convex Optimization.