• DocumentCode
    2478841
  • Title

    Geometric Splines and Interpolation on S2: Numerical Experiments

  • Author

    Hüper, K. ; Shen, Y. ; Leite, F. Silva

  • Author_Institution
    Canberra Res. Lab., Nat. ICT Australia, Canberra, ACT
  • fYear
    2006
  • fDate
    13-15 Dec. 2006
  • Firstpage
    6403
  • Lastpage
    6407
  • Abstract
    Several different procedures are presented to produce smooth interpolating curves on the two-sphere S2. The first class of methods is a combination of the pull back/push forward technique with unrolling data from S2 into a tangent plane, solving there the interpolation problem, and then wrapping the resulting interpolation curve back to the manifold. The second method results from converting a variational problem into a finite dimensional optimisation problem by a proper discretisation process. It turns out that the resulting curves look very similar. The main difference though is that the first approach gives closed form solutions to the interpolation problem, whereas the second method results in a finite number of points. These points then require further treatment, e.g., one could connect them by geodesic arcs, i.e., by great circle segments, to get an approximate solution to the variational problem. Although the result would not be smooth, it seems to be the best that one can get if the discretisation process is combined with a sufficiently cheap interpolation procedure
  • Keywords
    geometry; interpolation; optimisation; splines (mathematics); variational techniques; finite dimensional optimisation problem; geometric interpolation; geometric splines; smooth interpolating curves; variational problem; Closed-form solution; Interpolation; Manifolds; Optimal control; Optimization methods; Orbital robotics; Path planning; Robot kinematics; USA Councils; Wrapping;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2006 45th IEEE Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    1-4244-0171-2
  • Type

    conf

  • DOI
    10.1109/CDC.2006.377403
  • Filename
    4177774