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An Introduction to Computational Geometry

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Title: An Introduction to Computational Geometry


1
An Introduction to Computational Geometry
Joseph S. B. Mitchell Stony Brook University
2
Voronoi Diagrams
3
Historical Origins and Diagrams in Nature
René Descartes 1596-1650 1644
Gravitational Influence of stars
Dragonfly wing
Giraffe pigmentation
Honeycomb
Constrained soap bubbles
Ack StreinuBrock
4
Post Office Problem
Starbucks
Query point
Post offices
5
Voronoi Diagram
  • Partition the plane according to the equivalence
    classes V(Q) (x,y) the closest sites of S
    to (x,y) is exactly the set Q ? S
  • Q 1 Voronoi cells (2-faces)
  • Q 2 Voronoi edges (1-faces)
  • Q ? 3 Voronoi vertices (0-faces)

Q cocircular
6
Example
p
p
Voronoi cell of p
7
Delaunay Diagram
  • Join pi to pj iff there is an empty circle
    through pi and pj
  • Equivalent definition Dual of the Voronoi
    diagram
  • Applet Chew

A witness to the Delaunayhood of (pi , pj)
If no 4 points cocircular (degenerate), then
Delaunay diagram is a (very special)
triangulation.
pi
pj
8
Voronoi and Delaunay Properties
  • The planar dual of Voronoi, drawn with nodes at
    the sites, edges straight segments, has no
    crossing edges Delaunay. It is the Delaunay
    diagram, D(S) (defined by empty circle property).
  • Combinatorial size ? 3n-6 Voronoi/Delaunay
    edges ? 2n-5 Voronoi vertices (Delaunay faces)
    O(n)
  • A Voronoi cell is unbounded iff its site is on
    the boundary of CH(S)
  • ?CH(S) boundary of unbounded face of D(S)
  • Delaunay triangulation lexico-maximizes the angle
    vector among all triangulations
  • In particular, maximizes the min angle

9
Voronoi and Delaunay Properties
  • In any partition of S, SB ? R, into blue/red
    points, any blue-red pair that is shortest B-R
    bridge is a Delaunay edge.
  • D(S) is connected
  • MST ? D(S) (MSTmin spanning tree)
  • NNG ? D(S) (NNGnearest neighbor graph)
  • Voronoi/Delaunay can be built in time O(n log n)
  • Divide and conquer
  • Sweep
  • Randomized incremental
  • VoroGlide applet

10
Delaunay Edge Flip Algorithm
Lawson Edge Swap Legalize BKOS
  • Assume No 4 co-circular points, for simplicity.
  • Start with any triangulation
  • Keep a list (stack) of illegal edges
  • ab is illegal if InCircle(a,c,b,d)
  • iff the smallest of the 6 angles goes up if flip
  • Flip any illegal edge update legality status of
    neighboring edges
  • Continue until no illegal edges
  • Theorem A triangulation is Delaunay iff there
    are no illegal edges (i.e., it is locally
    Delaunay)
  • Only O(n2 ) flips needed.

d
b
Locally non-Delauany
a
c
11
Connection to Convex Hulls in 3D
  • Delaunay diagram ? lower convex hull of the
    lifted sites, (xi , yi , xi 2 yi 2 ), on the
    paraboloid of revolution, zx2 y2
  • Upper hull ? furthest site Delaunay
  • 3D CH applet

12
Voronoi and Delaunay
  • Algorithms
  • Divide and conquer (first O(n log n))
  • Sweep
  • Randomized incremental
  • Any algorithm that computes CH in R3 , e.g.,
    QHull

Qhull website
13
Fortunes Sweep Algorithm
Applet
Ack GuibasStolfi
14
Parabolic Front
Applet
Ack GuibasStolfi
15
Site Events
a)
b)
c)
Applet
Ack GuibasStolfi
16
Circle Events
Applet
Ack GuibasStolfi
17
Scheduling Circle Events
Applet
Ack GuibasStolfi
18
Incremental Construction
  • Add sites one by one, modifying the Delaunay
    (Voronoi) as we go
  • Join vi to 3 corners of triangle containing it
  • Do edge flips to restore local Delaunayhood
  • If added in random order, simple Backwards
    analysis shows expected time O(n log n)
    Guibas, Knuth, Sharir

19
Example
20
Voronoi Extensions
  • Numerous ! see Okabe, Boots, Sugihara, Chiu
  • Different metrics
  • Higher dimensions
  • Delaunay in Rd ? lower CH in Rd1
  • O( n log n n ?(d1)/2 ? )
  • Order-k, furthest-site
  • Other sites Voronoi of polygons, medial axis
  • Additive/multiplicative weights power diagram
  • ?-shapes a powerful shape representation

GeoMagic, biogeometry at Duke
21
VRONI Fast, robust Voronoi of polygonal domains
Incremental algorithm
22
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23
Computing offsets with a Voronoi diagram
24
Alpha Shapes, Hulls
Erase with a ball of radius ? to get ?-shape.
Straighten edges to get ?-hull
25
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26
?-Shapes
  • Theorem For each Delaunay edge, e(pi,pj),
    there exists ?min(e)gt0 and ?max(e)gt0 such that e
    ? ?-shape of S iff ?min(e) ? ? ? ?max(e).
  • Thus, every alpha-hull edge is in the Delaunay,
    and every Delaunay edge is in some alpha-shape.

Applet
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