Closest point query among the union of convex polytopes using rasterization hardware

  • Authors:
  • Young J. Kim;Kenneth Hoff;Ming C. Lin;Dinesh Manocha

  • Affiliations:
  • Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina;Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina;Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina;Department of Computer Science, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina

  • Venue:
  • Journal of Graphics Tools - Special on hardware-accelerated rendering techniques
  • Year:
  • 2002

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Abstract

We present a novel approach using rasterization hardware to perform the following query: Given a collection of convex polytopes in 3D, find the closest point from some given point inside the polytopes to the surface of the union of the polytopes. The algorithm takes advantage of multipass rendering, clipping, and depth tests. We also demonstrate its application to penetration depth computation.