Interpolating Splines: Which is the fairest of them all - PowerPoint PPT Presentation

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Interpolating Splines: Which is the fairest of them all

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2-dimensional parameter space, Modulo scaling, rotation, translation ... All 2-parameter, extensible splines. have segments cut from a generator curve! ... – PowerPoint PPT presentation

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Title: Interpolating Splines: Which is the fairest of them all


1
Interpolating SplinesWhich is the fairest of
them all?
  • Raph Levien, Google
  • Carlo Séquin, UC Berkeley

2
Approaches to 2D Curve Design
  • Bézier curves
  • Approximating splines
  • Useful if noisy data
  • ? Interpolating splines

3
What is the best interpolating spline?
  • How do you define best?
  • Fairness (smoothness)
  • Locality (ripples and wiggles)
  • Robustness (does it always converge?)
  • Stability (perturbation ? small change)
  • NOT Compute cost !

4
Minimal Energy Curve
  • Idealized thin elastic strip that goes through
    the data points
  • The curve that minimizes bending energy

5
Problems with MEC
  • Lack of roundness
  • Lack of convergence

6
Does MEC optimize the wrong functional?
  • Is there a better functional?
  • Tweaks to fix roundness
  • Scale-Invariant MEC
  • MVC
  • Space of all possible functionals is a pretty
    big zoo
  • How to choose one?

7
Properties of MEC worth preserving
  • These hold for any sane variational spline
  • Extensionality
  • Adding an on-curve point preserves shape.
  • Direct consequence of variational definition.
  • G2-continuity
  • Known splines with higher continuity have worse
    locality.
  • G2 is fair enough (for drawn curves).

8
2-Parameter Splines
  • Each curve segment determined by a2-dimensional
    parameter space,
  • Modulo scaling, rotation, translation
  • Two parameters are tangent angles

9
MEC is cut piecewise from a fixed curve
  • Known as the rectangular elastica

10
A Major New Result
  • All 2-parameter, extensible splines have
    segments cut from a generator curve!
  • (With scaling, rotation, translation to fit)

11
Generator ? Extensional Spline
  • Conversely, start with a curve and use it to
    generate a spline.
  • Relationship between ?/?2 and ?/?3 must be
    single-valued.
  • Preserve G2-continuity across points.

12
Euler Spiral
  • Curvature is linear in arc-length
  • Aka Cornu spiral, Fresnel integrals, Clothoid,
    Railroad transition curve . . .

13
Euler Spiral Spline
  • A really good curve Euler spiral
  • Fixes roundness problem
  • Far more robust
  • Some solution always seems to exist.
  • Mentioned by Birkhoff de Boor, 1965
  • Implemented by Mehlum, 70s
  • Why is it not more popular?

14
Which generating curve looks best?
  • Much simpler than Which functional is best?
  • We can employ empirical testing.
  • Aesthetic curve family is promising.

15
Empirical Study Aesthetic Curves
MECminimum
popularvotes
Exponent of Aesthetic Curve
16
4-Parameter Splines (MVC)
  • G4-continuity
  • Locality is poorer
  • 2-parameter is sparser (experience from font
    design)

17
Fairness/Locality Tradeoff
Exponential falloff factor
Exponent of Aesthetic Curve
18
Applications for Font Design
  • Euler spiral spline
  • Sparse control points
  • Interactive editing
  • G2 straight-to-curve transitions
  • Several fonts drawn
  • Inconsolata

19
Efficient Implementation
  • Can just use 2-D LUT to compute curvature from
    tangent angles.
  • Newton solver to enforce G2 globally.
  • Drawing is not much more expensive than de
    Casteljau.
  • Can convert to concise Bézier curves.

20
Bézier Representation of Font
  • Euler spiral master
  • Optimized conversion to Béziers
  • Error tolerance lt 10-3
  • Compatible with industry standard font formats

21
Conclusions
  • Best 2D spline is cut piecewise from some
    generating curve.
  • Euler spiral is a very good choice.
  • Aesthetic curves may be slightly better.
  • Efficient and practical implementations.
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