Book contents
- Frontmatter
- Contents
- Preface
- Chapter 1 Bivariate Polynomials
- Chapter 2 Bernstein–Bézier Methods for Bivariate Polynomials
- Chapter 3 B-Patches
- Chapter 4 Triangulations and Quadrangulations
- Chapter 5 Bernstein–Bézier Methods for Spline Spaces
- Chapter 6 C1 Macro-element Spaces
- Chapter 7 C2 Macro-element Spaces
- Chapter 8 Cr Macro-element Spaces
- Chapter 9 Dimension of Spline Spaces
- Chapter 10 Approximation Power of Spline Spaces
- Chapter 11 Stable Local Minimal Determining Sets
- Chapter 12 Bivariate Box Splines
- Chapter 13 Spherical Splines
- Chapter 14 Approximation Power of Spherical Splines
- Chapter 15 Trivariate Polynomials
- Chapter 16 Tetrahedral Partitions
- Chapter 17 Trivariate Splines
- Chapter 18 Trivariate Macro-element Spaces
- References
- Index
Chapter 13 - Spherical Splines
Published online by Cambridge University Press: 05 May 2010
- Frontmatter
- Contents
- Preface
- Chapter 1 Bivariate Polynomials
- Chapter 2 Bernstein–Bézier Methods for Bivariate Polynomials
- Chapter 3 B-Patches
- Chapter 4 Triangulations and Quadrangulations
- Chapter 5 Bernstein–Bézier Methods for Spline Spaces
- Chapter 6 C1 Macro-element Spaces
- Chapter 7 C2 Macro-element Spaces
- Chapter 8 Cr Macro-element Spaces
- Chapter 9 Dimension of Spline Spaces
- Chapter 10 Approximation Power of Spline Spaces
- Chapter 11 Stable Local Minimal Determining Sets
- Chapter 12 Bivariate Box Splines
- Chapter 13 Spherical Splines
- Chapter 14 Approximation Power of Spherical Splines
- Chapter 15 Trivariate Polynomials
- Chapter 16 Tetrahedral Partitions
- Chapter 17 Trivariate Splines
- Chapter 18 Trivariate Macro-element Spaces
- References
- Index
Summary
In this chapter and the next we discuss spline spaces defined on triangulations of the unit sphere S in ℝ3. The spaces are natural analogs of the bivariate spline spaces discussed earlier in this book, and are made up of pieces of trivariate homogeneous polynomials restricted to S. Thus, they are piecewise spherical harmonics. As we shall see, virtually the entire theory of bivariate polynomial splines on planar triangulations carries over, although there are several significant differences. This chapter is devoted to the basic theory of spherical splines. Approximation properties of spherical splines are treated in the following chapter.
Spherical Polynomials
In this section we introduce the key building blocks for spherical splines. Throughout the chapter we write ν for a point on the unit sphere S in ℝ3. When there is no chance of confusion, at times we will also write v for the corresponding unit vector. Before introducing spherical polynomials, we need to discuss spherical triangles and spherical barycentric coordinates.
Spherical Triangles
Suppose ν1, ν2 are two points on the sphere which are not antipodal, i.e., they do not lie on a line through the origin. Then the points ν1, ν2 divide the great circle passing through ν1, ν2 into two circular arcs. We write 〈ν1, ν2〉 for the shorter of the arcs. Its length is just the geodesic distance between ν1 and ν2.
Definition 13.1.Suppose ν1, ν2, ν3are three points on the unit sphere S which lie strictly in one hemisphere.
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- Spline Functions on Triangulations , pp. 378 - 408Publisher: Cambridge University PressPrint publication year: 2007