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Reconstruction using witness complexes

  • Stanford University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We present a novel reconstruction algorithm that, given an input point set sampled from an object S, builds a oneparameter family of complexes that approximate S at different scales. At a high level, our method is very similar in spirit to Chew's surface meshing algorithm, with one notable difference: the restricted Delaunay triangulation is replaced by the witness complex, which makes our algorithm applicable in any metric space. To prove its correctness on curves and surfaces, we highlight the relationship between the witness complex and the restricted Delaunay triangulation in 2d and in 3d. Specifically, we prove that both complexes are equal in 2d and closely related in 3d, under some mild sampling assumptions.

Original languageEnglish
Title of host publicationProceedings of the 18th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2007
PublisherAssociation for Computing Machinery
Pages1076-1085
Number of pages10
ISBN (Electronic)9780898716245
Publication statusPublished - 1 Jan 2007
Externally publishedYes
Event18th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2007 - New Orleans, United States
Duration: 7 Jan 20079 Jan 2007

Publication series

NameProceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms
Volume07-09-January-2007

Conference

Conference18th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2007
Country/TerritoryUnited States
CityNew Orleans
Period7/01/079/01/07

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