• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

DMCA

A Signal Processing Approach To Fair Surface Design (1995)

Cached

  • Download as a PDF

Download Links

  • [mesh.caltech.edu]
  • [www.gvu.gatech.edu]
  • [www.cs.jhu.edu]
  • [www.cs.jhu.edu]
  • [mesh.caltech.edu]
  • [www.gvu.gatech.edu]
  • [graphics.ics.uci.edu]
  • [www.ann.jussieu.fr]
  • [www.ann.jussieu.fr]
  • [www.cs.jhu.edu]
  • [www.cs.jhu.edu]
  • [staff.ustc.edu.cn]
  • [www-evasion.inrialpes.fr]

  • Other Repositories/Bibliography

  • DBLP
  • Save to List
  • Add to Collection
  • Correct Errors
  • Monitor Changes
by Gabriel Taubin
Citations:654 - 15 self
  • Summary
  • Citations
  • Active Bibliography
  • Co-citation
  • Clustered Documents
  • Version History

BibTeX

@MISC{Taubin95asignal,
    author = {Gabriel Taubin},
    title = {A Signal Processing Approach To Fair Surface Design},
    year = {1995}
}

Share

Facebook Twitter Reddit Bibsonomy

OpenURL

 

Abstract

In this paper we describe a new tool for interactive free-form fair surface design. By generalizing classical discrete Fourier analysis to two-dimensional discrete surface signals -- functions defined on polyhedral surfaces of arbitrary topology --, we reduce the problem of surface smoothing, or fairing, to low-pass filtering. We describe a very simple surface signal low-pass filter algorithm that applies to surfaces of arbitrary topology. As opposed to other existing optimization-based fairing methods, which are computationally more expensive, this is a linear time and space complexity algorithm. With this algorithm, fairing very large surfaces, such as those obtained from volumetric medical data, becomes affordable. By combining this algorithm with surface subdivision methods we obtain a very effective fair surface design technique. We then extend the analysis, and modify the algorithm accordingly, to accommodate different types of constraints. Some constraints can be imposed without any modification of the algorithm, while others require the solution of a small associated linear system of equations. In particular, vertex location constraints, vertex normal constraints, and surface normal discontinuities across curves embedded in the surface, can be imposed with this technique.

Keyphrases

fair surface design    signal processing approach    arbitrary topology    computer graphic    object modeling curve    surface smoothing    surface normal discontinuity    polyhedral surface    different type    linear system    computational geometry    large surface    interactive free-form fair surface design    two-dimensional discrete surface signal function    vertex location constraint    surface subdivision method    new tool    low-pass filtering    computer-aided engineering    picture image generation display algorithm    linear time    subject descriptor    space complexity algorithm    cr category    classical discrete fourier analysis    volumetric medical data    normal constraint    com puter application    design general term    effective fair surface design technique    object representation    optimization-based fairing method   

Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University