Parallel algorithms for approximation of distance maps on parametric surfaces

  • Authors:
  • Ofir Weber;Yohai S. Devir;Alexander M. Bronstein;Michael M. Bronstein;Ron Kimmel

  • Affiliations:
  • Technion Israel Institute of Technology;Technion Israel Institute of Technology;Technion Israel Institute of Technology;Technion Israel Institute of Technology;Technion Israel Institute of Technology

  • Venue:
  • ACM Transactions on Graphics (TOG)
  • Year:
  • 2008

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Abstract

We present an efficient O(n) numerical algorithm for first-order approximation of geodesic distances on geometry images, where n is the number of points on the surface. The structure of our algorithm allows efficient implementation on parallel architectures. Two implementations on a SIMD processor and on a GPU are discussed. Numerical results demonstrate up to four orders of magnitude improvement in execution time compared to the state-of-the-art algorithms.