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inria-00201830, version 1

Approximate computation of curves on B-spline surfaces

Yi-Jun Yang 1, Jun-Hai Yong 1, Song Cao 23, Hui Zhang 1, Jean-Claude Paul a1, Jia-Guang Sun 14, He-Jin Gu 5

Computer-Aided Design (2007)

Résumé : Curves on surfacesnext term play an important role in computer-aided geometric design. Because of the considerably high degree of exact previous termcurves on surfaces,next term approximation algorithms are preferred in CAD systems. To previous termapproximatenext term the exact previous termcurvenext term with a reasonably low degree previous termcurvenext term which also lies completely on the previous termB-spline surface,next term an algorithm is presented in this paper. The Hausdorff distance between the previous termapproximate curvenext term and the exact previous termcurvenext term is controlled under the user-specified distance tolerance. The previous termapproximate curvenext term is εT–G1 continuous, where εT is the user-specified angle tolerance. Examples are given to show the performance of our algorithm.

  • a –  INRIA
  • 1 :  CAD (CAD LIAMA INRIA Paris - Rocquencourt)
  • Centre de coopération internationale en recherche agronomique pour le développement [CIRAD] – CNRS – Institut national de la recherche agronomique (INRA) – Chinese Academy of Science (CAS) – Institute of Automation, Chinese Academy of Sciences – INRIA
  • 2 :  Key Laboratory for Information System Security
  • ministry of education
  • 3 :  Tsinghua University
  • Tsinghua University
  • 4 :  Purdue Research and Education Center for Information Systems in Engineering (PRECISE)
  • Purdue University
  • 5 :  Jiangxi Academy of Sciences
  • Nanchang
  • Domaine : Informatique/Ingénierie assistée par ordinateur
  • Mots-clés : Approximation – previous termB-spline – Curves on surfaces – Curvenext term approximations
 
  • inria-00201830, version 1
  • oai:hal.inria.fr:inria-00201830
  • Contributeur : 
  • Soumis le : Jeudi 3 Janvier 2008, 11:34:37
  • Dernière modification le : Jeudi 3 Janvier 2008, 11:34:37