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Generalized PolyCube trivariate splines

  • Stony Brook University
  • Louisiana State University

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

43 Scopus citations

Abstract

This paper develops a new trivariate hierarchical spline scheme for volumetric data representation. Unlike conventional spline formulations and techniques, our new framework is built upon a novel parametric domain called Generalized PolyCube (GPC), comprising a set of regular cubes being glued together. Compared with the conventional PolyCube (PC) that could serve as a "one-piece" 3-manifold domain, GPC has more powerful and flexible representation ability. We develop an effective framework that parameterizes a solid model onto a topologically equivalent GPC domain, and design a hierarchical fitting scheme based on trivariate T-splines. The entire data-spline-conversion modeling framework provides high-accuracy data fitting and greatly reduce the number of superfluous control points. It is a powerful toolkit with broader application appeal in shape modeling, engineering analysis, and reverse engineering.

Original languageEnglish
Title of host publicationSMI 2010 - International Conference on Shape Modeling and Applications, Proceedings
Pages261-265
Number of pages5
DOIs
StatePublished - 2010
EventInternational Conference on Shape Modeling and Applications - Shape Modeling International Conference, SMI 2010 - Aix-en-Provence, France
Duration: Jun 21 2010Jun 23 2010

Publication series

NameSMI 2010 - International Conference on Shape Modeling and Applications, Proceedings

Conference

ConferenceInternational Conference on Shape Modeling and Applications - Shape Modeling International Conference, SMI 2010
Country/TerritoryFrance
CityAix-en-Provence
Period06/21/1006/23/10

Keywords

  • Generalized PolyCube
  • Trivariate spline
  • Volumetric parameterization

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