Manifold reconstruction from point samples

  • Authors:
  • Siu-Wing Cheng;Tamal K. Dey;Edgar A. Ramos

  • Affiliations:
  • The Hong Kong University of Science and Technology, Hong Kong;The Ohio State University, Columbus, Ohio;University of Illinois at Urbana Champaign, Urbana, Illinois

  • Venue:
  • SODA '05 Proceedings of the sixteenth annual ACM-SIAM symposium on Discrete algorithms
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

We present an algorithm to "reconstruct" a smooth k-dimensional manifold M embedded in an Euclidean space Rd from a "sufficiently dense" point sample from the manifold. The algorithm outputs a simplicial manifold that is homeomorphic and geometrically close to M. The running time is O(n log n) where n is the number of points in the sample (the multiplicative constant depends exponentially on the dimension though).