• DocumentCode
    950928
  • Title

    On Linear Variational Surface Deformation Methods

  • Author

    Botsch, Mario ; Sorkine, Olga

  • Author_Institution
    ETH Zurich, Zurich
  • Volume
    14
  • Issue
    1
  • fYear
    2008
  • Firstpage
    213
  • Lastpage
    230
  • Abstract
    This survey reviews the recent advances in linear variational mesh deformation techniques. These methods were developed for editing detailed high-resolution meshes like those produced by scanning real-world objects. The challenge of manipulating such complex surfaces is threefold: The deformation technique has to be sufficiently fast, robust, intuitive, and easy to control to be useful for interactive applications. An intuitive and, thus, predictable deformation tool should provide physically plausible and aesthetically pleasing surface deformations, which, in particular, requires its geometric details to be preserved. The methods that we survey generally formulate surface deformation as a global variational optimization problem that addresses the differential properties of the edited surface. Efficiency and robustness are achieved by linearizing the underlying objective functional such that the global optimization amounts to solving a sparse linear system of equations. We review the different deformation energies and detail preservation techniques that were proposed in recent years, together with the various techniques to rectify the linearization artifacts. Our goal is to provide the reader with a systematic classification and comparative description of the different techniques, revealing the strengths and weaknesses of each approach in common editing scenarios.
  • Keywords
    computational geometry; deformation; mesh generation; solid modelling; 3D geometric modelling; linear variational mesh surface deformation method; surface editing technique; variational optimization problem; discrete differential operators; linear optimization; mesh editing; Algorithms; Computer Graphics; Computer Simulation; Elasticity; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Linear Models; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;
  • fLanguage
    English
  • Journal_Title
    Visualization and Computer Graphics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1077-2626
  • Type

    jour

  • DOI
    10.1109/TVCG.2007.1054
  • Filename
    4359478