• DocumentCode
    525628
  • Title

    A fast and accurate multi-level B-spline approximation with adaptive lattice partitioning and independent subregions transformation

  • Author

    Seo, Masataka ; Chen, Yen-wei

  • Author_Institution
    Grad. Sch. of Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan
  • fYear
    2010
  • fDate
    23-25 June 2010
  • Firstpage
    657
  • Lastpage
    662
  • Abstract
    Image warping is an important visual effect tool in entertainment industry and other research field. To date many warping algorithms have been proposed and used such as mesh transformation, radial basis functions, thin plate splines and B-splines (free-form deformations). In particular, the free-form deformation based on B-spline approximation is a powerful and useful morphing algorithm and is proven to have the one-to-one property which can prevent the transformed image from folding back upon itself. In order to minimize the transformation error, a multi-level B-spline approximation has been proposed. Though a natural and smooth morphed image can be obtained by using the multi-level B-spline approximation, it takes a large computation cost. In this paper, we proposed an adaptive lattice partitioning method to reduce the large computation cost and a partial transformation method for enhancement of transformation accuracy. The experimental results show that the proposed methods are more efficient and accurate than conventional multi-level B-spline method.
  • Keywords
    approximation theory; image morphing; lattice theory; splines (mathematics); B-splines; adaptive lattice partitioning method; entertainment industry; free-form deformations; image warping; independent subregions transformation; mesh transformation; morphing algorithm; multilevel B-spline approximation; radial basis functions; thin plate splines; Decision support systems; Lattices; Spline; adaptive lattice partitioning method; facial image; multi-level B-spline approximation; partial transformation method; transformation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Data Mining (SEDM), 2010 2nd International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-7324-3
  • Electronic_ISBN
    978-89-88678-22-0
  • Type

    conf

  • Filename
    5542842