Parallel construction of k-nearest neighbor graphs for point clouds

  • Authors:
  • M. Connor;P. Kumar

  • Affiliations:
  • Department of Computer Science, Florida State University;Department of Computer Science, Florida State University

  • Venue:
  • SPBG'08 Proceedings of the Fifth Eurographics / IEEE VGTC conference on Point-Based Graphics
  • Year:
  • 2008

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Abstract

We present a parallel algorithm for k-nearest neighbor graph construction that uses Morton ordering. Experiments show that our approach has the following advantages over existing methods: (1) Faster construction of k-nearest neighbor graphs in practice on multi-core machines. (2) Less space usage. (3) Better cache efficiency. (4) Ability to handle large data sets. (5) Ease of parallelization and implementation.