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Computational Geometry
Volume 31, Issues 1-2, May 2005, Pages 63-100
Special Issue on the 19th Annual Symposium on Computational Geometry - SoCG 2003
 
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doi:10.1016/j.comgeo.2004.07.004    How to Cite or Link Using DOI (Opens New Window)
Copyright © 2004 Elsevier B.V. All rights reserved.

Curve reconstruction from noisy samples

Siu-Wing Chenga, Corresponding Author Contact Information, 1, E-mail The Corresponding Author, Stefan Funkeb, 2, E-mail The Corresponding Author, Mordecai Golina, 1, E-mail The Corresponding Author, Piyush Kumarc, E-mail The Corresponding Author, Sheung-Hung Poona, 1, E-mail The Corresponding Author and Edgar Ramosd, 2, E-mail The Corresponding Author

aDepartment of Computer Science, HKUST, Hong Kong bMPI, Saarbrücken, Germany cDepartment of Computer Science, SUNY, Stony Brook, USA dDepartment of Computer Science, UIUC, USA

Received 24 July 2003; 
revised 4 June 2004; 
accepted 7 July 2004. 
Communicated by D.M. Mount. 
Available online 2 December 2004.

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Abstract

We present an algorithm to reconstruct a collection of disjoint smooth closed curves from noisy samples. Our noise model assumes that the samples are obtained by first drawing points on the curves according to a locally uniform distribution followed by a uniform perturbation in the normal directions. Our reconstruction is faithful with probability approaching 1 as the sampling density increases.

Keywords: Computational geometry; Curve reconstruction; Probabilistic analysis; Homeomorphism


Computational Geometry
Volume 31, Issues 1-2, May 2005, Pages 63-100
Special Issue on the 19th Annual Symposium on Computational Geometry - SoCG 2003
 
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