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Fitting Splines to a Parametric Function

  • Alvin Penner

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Alvin Penner
    Pages 1-2
  3. Alvin Penner
    Pages 13-17
  4. Alvin Penner
    Pages 19-26
  5. Alvin Penner
    Pages 27-36
  6. Alvin Penner
    Pages 37-42
  7. Alvin Penner
    Pages 43-48
  8. Alvin Penner
    Pages 49-56
  9. Alvin Penner
    Pages 57-65
  10. Alvin Penner
    Pages 67-75
  11. Alvin Penner
    Pages 77-79

About this book

Introduction

This Brief investigates the intersections that occur between three different areas of study that normally would not touch each other: ODF, spline theory, and topology.

The Least Squares Orthogonal Distance Fitting (ODF) method has become the standard technique used to develop mathematical models of the physical shapes of objects, due to the fact that it produces a fitted result that is invariant with respect to the size and orientation of the object. It is normally used to produce a single optimum fit to a specific object; this work focuses instead on the issue of whether the fit responds continuously as the shape of the object changes. The theory of splines develops user-friendly ways of manipulating six different splines to fit the shape of a simple family of epiTrochoid curves: two types of Bézier curve, two uniform B-splines, and two Beta-splines. This work will focus on issues that arise when mathematically optimizing the fit. There are typically multiple solutions to the ODF method, and the number of solutions can often change as the object changes shape, so two topological questions immediately arise: are there rules that can be applied concerning the relative number of local minima and saddle points, and are there different mechanisms available by which solutions can either merge and disappear, or cross over each other and interchange roles. The author proposes some simple rules which can be used to determine if a given set of solutions is internally consistent in the sense that it has the appropriate number of each type of solution.

Keywords

Least Squares Orthogonal Distance Fitting ODF method spline theory cubic Bézier solutions Beta2 spline

Authors and affiliations

  • Alvin Penner
    • 1
  1. 1.FONTHILLCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-12551-6
  • Copyright Information The Author(s), under exclusive license to Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-12550-9
  • Online ISBN 978-3-030-12551-6
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site