Fitting Scattered Data on Sphere-like Surfaces Using Spherical Splines

نویسندگان

  • Peter Alfeld
  • Marian Neamtu
  • Larry L. Schumaker
چکیده

Spaces of polynomial splines deened on planar triangulations are very useful tools for tting scattered data in the plane. Recently, 4, 5], using homogeneous polynomials, we have developed analogous spline spaces deened on triangulations on the sphere and on sphere-like surfaces. Using these spaces, it is possible to construct analogs of many of the classical interpolation and tting methods. Here we examine some of the more interesting ones in detail. For interpolation, we discuss macro-element methods and minimal energy splines, and for tting, we consider discrete least squares and penalized least squares.

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تاریخ انتشار 2007