Provable surface reconstruction from noisy samples

  • Authors:
  • Tamal K. Dey;Samrat Goswami

  • Affiliations:
  • Department of Computer Science & Engineering, The Ohio State University;Department of Computer Science & Engineering, The Ohio State University

  • Venue:
  • Computational Geometry: Theory and Applications
  • Year:
  • 2006

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Abstract

We present an algorithm for surface reconstruction in presence of noise. We show that, under a reasonable noise model, the algorithm has theoretical guarantees. Actual performance of the algorithm is illustrated by our experimental results.