• DocumentCode
    2863423
  • Title

    Feature based retargeting of parameterized geometry

  • Author

    Singh, Karan ; Pedersen, Hans K. ; Krishnamurthy, Venkat

  • Author_Institution
    Dept. of Comput. Sci., Toronto Univ., Ont., Canada
  • fYear
    2004
  • fDate
    2004
  • Firstpage
    163
  • Lastpage
    172
  • Abstract
    This paper presents an approach for mapping layouts of parametric surface patches to a target 3D geometry. Its main contribution is to facilitate the feature based placement of an arbitrary network of patches, assuring that both boundaries and parametric flow conform to features of the target shape. The technique, referred to as dynamic templates, describes the algorithms and interface of a reverse engineering system, Paraform, that integrates techniques relying on a judicious choice of automation and user guided tools. Our approach is based on a use of constrained optimization for the fairing of structured surface grids, where grid points can be unconstrained in 3D or constrained to lie within the parameter space of curves, surfaces, or other geometry. We present our results as case studies in large industrial workflow problems, involving the reuse of geometric data.
  • Keywords
    computational geometry; feature extraction; reverse engineering; surface fitting; workflow management software; 3D geometry; Paraform; arbitrary network; automation choice; boundaries flow; constrained optimization; dynamic templates; feature based placement; feature based retargeting; geometric data reuse; grid points; industrial workflow problems; mapping layouts; parameter space; parameterized geometry; parametric flow; parametric surface patches; reverse engineering system; structured surface grids; user guided tools; Automation; Automotive engineering; Computational geometry; Computer science; Reverse engineering; Shape; Solid modeling; Surface fitting; Surface texture; Vehicle dynamics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geometric Modeling and Processing, 2004. Proceedings
  • Print_ISBN
    0-7695-2078-2
  • Type

    conf

  • DOI
    10.1109/GMAP.2004.1290038
  • Filename
    1290038