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Topology-driven surface mappings with robust feature alignment

  • Stony Brook University

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

24 Scopus citations

Abstract

Topological concepts and techniques have been broadly applied in computer graphics and geometric modeling. However, the homotopy type of a mapping between two surfaces has not been addressed before. In this paper, we present a, novel solution to the problem of computing continuous maps with different homotopy types between two arbitrary triangle meshes with the same topology. Inspired by the rich theory of topology as well as the existing body of work on surface mapping, our newly-developed mapping techniques are both fundamental and unique, offering many attractive advantages. First, our method allows the user to change the homotopy type or global structure of the mapping with minimal intervention. Moreover, to locally affect shape correspondence, we articulate a new technique that robustly satisfies hard feature constraints, without the use of heuristics to ensure validity. In addition to acting as a useful tool for computer graphics applications, our method can be used as a rigorous and practical mechanism for the visualization of abstract topological concepts such as homotopy type of surface mappings, homology basis, fundamental domain, and universal covering space. At the core of our algorithm is a procedure for computing the canonical homology basis and using it as a common cut graph for any surface with the same topology. We demonstrate our results by applying our algorithm to shape morphing in this paper.

Original languageEnglish
Title of host publicationVIS 05
Subtitle of host publicationIEEE Visualization 2005, Proceedings
Pages69
Number of pages1
DOIs
StatePublished - 2005
EventVIS 05: IEEE Visualization 2005, Proceedings - Minneapolis, MN, United States
Duration: Oct 23 2005Oct 28 2005

Publication series

NameProceedings of the IEEE Visualization Conference

Conference

ConferenceVIS 05: IEEE Visualization 2005, Proceedings
Country/TerritoryUnited States
CityMinneapolis, MN
Period10/23/0510/28/05

Keywords

  • Computational topology
  • Riemannian surface structure
  • Shape morphing
  • Surface parameterization

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