• DocumentCode
    3390744
  • Title

    Surface representation and processing

  • Author

    Feng, Xin ; Shi, Minyong

  • fYear
    2009
  • fDate
    15-17 June 2009
  • Firstpage
    542
  • Lastpage
    545
  • Abstract
    Surface representation and processing is one of the key topics in computer graphics, since it greatly affects the range of possible applications. This paper reviews the Laplacian operator (differential coordinates) which represent surface´s differential geometric properties , discuss the mesh deformation and smoothing based on Laplacian operator. Laplacian operator denotes a vector that is the difference between the absolute coordinates of a vertex and the center of mass of its 1-ring neighbors in the mesh. In other word, Laplacian operator shows surface concave or convex information. The deformation techniques based on interpolation and forward reconstruction schemes, such as skeletal subspace deformation, free form deformation, and multiresolution deformation, may lead to serious artifacts, when applied to large deformation. While using Laplacian operator, the high quality of deformation effects can be obtained, that means geometric details to be preserved. The deformation operation: interactive free form deformation in a region of interest based on the transformation of a handle, transfer and mixing of geometric details between two surfaces, and transplanting of a partial surface mesh onto another surface. The core of the mesh deformation is editing Laplacian operator´s direction and magnitude. Mesh smoothing algorithm based on Laplacian operator minimizes the energy function, that is a quadratic optimization problem. The smooth.ed solution is a combination of the Laplacian eigenvectors with modified coefficients. This analysis shows this mesh smoothing algorithm are very similar to classic spectral smoothing.
  • Keywords
    computer graphics; deformation; eigenvalues and eigenfunctions; Laplacian eigenvector; Laplacian operator; classic spectral smoothing; computer graphics; energy function; forward reconstruction schemes; interactive free form deformation; mesh smoothing algorithm; multiresolution deformation; quadratic optimization problem; skeletal subspace deformation; surface concave information; surface convex information; surface differential geometric properties; surface processing; surface representation; Algorithm design and analysis; Application software; Computer graphics; Energy resolution; Interpolation; Laplace equations; Shape; Smoothing methods; Spatial resolution; Surface reconstruction; Laplacian operator; mesh deformation; mesh smoothing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
  • Conference_Location
    Kowloon, Hong Kong
  • Print_ISBN
    978-1-4244-4642-1
  • Type

    conf

  • DOI
    10.1109/COGINF.2009.5250681
  • Filename
    5250681