• DocumentCode
    442828
  • Title

    3D curve interpolation and object reconstruction

  • Author

    Baloch, S.H. ; Krim, H. ; Mio, W. ; Srivastava, A.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., North Carolina State Univ., Raleigh, NC, USA
  • Volume
    2
  • fYear
    2005
  • fDate
    11-14 Sept. 2005
  • Abstract
    Three dimensional objects viewed as surfaces or volumes embedded in R3, are usually sampled along the z-dimension by planes for rendering or modeling purposes. The resulting intersections are curves or planar shapes which may in turn be modeled for parsimony of representation. Each curve or planar shape may be viewed as a point in a high dimensional manifold, thereby providing the notion of interpolation between two curves or two points on this manifold to reconstruct the subsurface that lies between the two slices. We exploit some recent results in formulating this interpolation problem as an optimization problem in R3 to yield a simple interpolating spline, known as elasticae, which when evaluated at intermediate points yields curves which can in turn be instrumental in 3D reconstruction. The approach is particularly suited for interpolation between MRI slices and for modeling and reconstruction of 3D shapes.
  • Keywords
    image reconstruction; image representation; optimisation; splines (mathematics); 3D curve interpolation; 3D shapes reconstruction; elasticae; high dimensional manifold; object reconstruction; optimization problem; planar shapes; simple interpolating spline; Image reconstruction; Instruments; Interpolation; Magnetic resonance imaging; Sampling methods; Shape; Signal processing; Spline; Surface reconstruction; Surface topography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Processing, 2005. ICIP 2005. IEEE International Conference on
  • Print_ISBN
    0-7803-9134-9
  • Type

    conf

  • DOI
    10.1109/ICIP.2005.1530222
  • Filename
    1530222