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Spherical parameterization balancing angle and area distortions

  • Stony Brook University
  • Florida International University

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

This work presents a novel framework for spherical mesh parameterization. An efficient angle-preserving spherical parameterization algorithm is introduced, which is based on dynamic Yamabe flow and the conformal welding method with solid theoretic foundation. An area-preserving spherical parameterization is also discussed, which is based on discrete optimal mass transport theory. Furthermore, a spherical parameterization algorithm, which is based on the polar decomposition method, balancing angle distortion and area distortion is presented. The algorithms are tested on 3D geometric data and the experiments demonstrate the efficiency and efficacy of the proposed methods.

Original languageEnglish
Article number7434077
Pages (from-to)1663-1676
Number of pages14
JournalIEEE Transactions on Visualization and Computer Graphics
Volume23
Issue number6
DOIs
StatePublished - Jun 1 2017

Keywords

  • area-preserving map
  • conformal map
  • optimal mass transport
  • ricci flow
  • Spherical parameterization

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