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Title: Delaunay Meshing for Piecewise Smooth Complexes


1
Delaunay Meshing for Piecewise Smooth Complexes
  • Tamal K. Dey
  • The Ohio State U.
  • Joint work Siu-Wing Cheng, Joshua Levine, Edgar
    A. Ramos

2
Piecewise Smooth Complexes
  • Sharp Edges
  • Non-manifold

3
Piecewise Smooth Complexes
  • D is a piecewise smooth complex (PSC) if
  • Each k-dimensional element is a manifold and
    compact subset of a smooth (C2) k-manifold,
    0k2.
  • The k-th stratum, Dk set of k-dim elements of
    D.
  • D0 vertices, D1 1-faces, D2 2-faces.
  • Dk D0 ? ? Dk.
  • D satisfies usual reqs for being a complex.
  • Interiors of elements are disjoint and for s ? D,
    bd s ? D.
  • For any s,? ? D, either s ? ? ? or s ? ? ? D .

4
Delaunay refinement History
  • Chew89, Ruppert92, Shewchuk98 (Linear domains
    with no small angle)
  • Cohen-Steiner-Verdiere-Yvinec02,
    Cheng-Dey-Ramos-Ray04 (polyhedral domains with
    small angle)
  • Chew93 (surface without guarantees)
  • Cheng-Dey-Edelsbrunner-Sullivan01 (skin surfaces)
  • Boissonnat-Oudot03 and Cheng-Dey-Ramos-Ray04
    (smooth surface)
  • Boissonnat-Oudot06 (Lipschitz surfaces)
  • Oudot-Rineau-Yvinec06 (Volumes)

5
Basics of Delaunay Refinement
  • Chew 89, Ruppert 92, Shewchuk 98
  • Maintain a Delaunay triangulation of the current
    set of vertices.
  • If some property is not satisfied by the current
    triangulation, insert a new point which is
    locally farthest.
  • Burden is on showing that the algorithm
    terminates (shown by packing argument).

6
Challenges for PSC
  • Topology
  • Polyhedral case (input conformity,topology
    trivial).
  • Curved elements (topology is an issue).
  • Topological Ball Property (TBP) was used for
    smooth manifolds BO03,CDRR04.
  • We need extended TBP for nonmanifolds.
  • Nonsmoothness
  • Lipschitz surfaces BO06, Remeshing DLR05.
  • Small angles
  • Delaunay refinement is hard CP03, CDRR05, PW04.

7
Topological Ball Property
  • For a weighted point set S, let Vor S and Del S
    denote the weighted Voronoi and Delaunay
    diagrams.
  • S has the TBP for s?Di if s intersects any k-face
    in Vor S either in emptyset or in a closed
    topological (ik-3)-ball.

8
CW-Complexes
  • A CW-complex R is a collection of closed
    (topological) balls whose interiors are pairwise
    disjoint and whose boundaries are the union of
    other closed balls in R.
  • Our algorithm builds a CW-complex, Vor SD,
    to satisfy an extended TBPES97.

9
Extended TBP
  • S ? D has the extended TBP (eTBP) for D if
    there is a CW-complex R with R D s.t.
  • (C1) The restricted Voronoi face F ? D is the
    underlying space of a CW-complex R ? R.
  • (C2) The closed balls in R are incident to a
    unique closed ball bF ? R.
  • (C3) If bF is a j-ball then bF ? bd F is a
    (j-1)-sphere.
  • (C4) Each k-ball in R, except bF, intersects bd
    F in a (k-1)-ball.

10
Extended TBP
  • For a 1- or 2-face s, let Del Ss denote the
    Delaunay subcomplex restricted to s.
  • Del SDi ?s?Di Del Ss.
  • Del SD ?s?D Del Ss.
  • Theorem. If S has the eTBP for D then the
    underlying space of Del SD is homeomorphic to
    D ES97.

11
Feature Size
  • For analysis, we require a feature size which is
    1-Lipschitz and non-zero.
  • For any x ? D, let f(x) minm(x), g(x).
  • For any s ? D, f() is 1-Lipschitz over int s.
  • For d ? (0,1 and x ? D,
  • if x ? D0, lfsd(x) df(x).
  • if x ? int Di, for i 1,
  • lfsd(x) maxdf(x), maxy?bdDi
    lfsd(y)-x-y.

12
Protecting D1
  1. Any 2 adjacent balls on a 1-face must overlap
    significantly without containing each others
    centers
  2. No 3 balls have a common intersection
  3. For a point p ? s ? D1, if we enlarge any
    protecting ball Bp by a factor c 8, forming B
  4. B intersects s in a single curve, and intersects
    all ? ? D2 adjacent to s in a topological disk.
  5. For any q in B ? s, the tangent variation
    between p and q is bounded.
  6. For any q in B ? ? (? ? D2 adjacent to s), the
    normal variation between p and q is bounded.

13
Admissible Point Sets
  • Protecting balls are turned into weighted points
  • We call a point set S admissible if
  • S contains all weighted points placed on D1.
  • Other points in S are unweighted and they lie
    outside of the protecting balls (the weighted
    points).
  • We maintain an admissible point set at each step
    of the algorithm.

14
D1 conformation
  • Lemma. Let S is an admissible point set. For a
    1-face s, if p and q are adjacent weighted
    vertices spanning segment spq on s then Vpq is
    the only Voronoi facet which intersects spq and
    it does so exactly once.

15
Meshing PSCs
  • Meshing algorithm uses four tests to detect eTBP
    violations.
  • Upon violation, we insert points outside of
    protected balls of weighted vertices.

16
Test 1 Multi-Intersection(q,s)
  • For a point q? S on a 2-face s, find a triangle t
    ? Del Ss incident to q s.t. Vt intersects s
    multiple times.
  • If no t exists, return null, otherwise return the
    furthest (weighted) intersection point from q.

17
Test 2 Normal-Deviation(q,s,T)
  • For a point q ? S on a 2-face s, check ?ns(p),
    ns(q) lt T for all points p ? Vqs.
  • 2? T ?/6.
  • If so return null.
  • Otherwise return a point p where
  • ?ns(p), ns(q) T .

18
Test 3 Infringement(q,s)
  • We say q is infringed w.r.t. s if
  • s is a 2-face containing q s.t. pq ? Del Ss for
    some p ? s.
  • s is a 2-face and there is a 1-face in bd s
    containing q and a non-adjacent vertex p s.t. pq
    ? Del Ss.
  • For q ? S ? s, return null if q is not infringed,
    otherwise let pq be the infringing edge.
  • If the boundary edges of Vpq intersect int s,
    return any intersection point.
  • Else, Vpq ? s is a collection of closed curves,
    return a critical point of Vpq ? s in a direction
    parallel to Vpq.

19
Test 4 No-Disk(q,s)
  • If the star of q in Del Ss is a topological
    disk, return null.
  • Otherwise, find the triangle t ? Del Ss incident
    to q which has the furthest (weighted)
    intersection point in Vts from q and return the
    intersection point.

20
Meshing Algorithm
  • Protect elements in D1 with weighted points.
    Insert a point in each element of D2 outside of
    protected regions. Let S be this point set.
  • For any s ? D2 and point q ? S ? s
  • If Infringed(q,s), Multi-Intersection(q,s),
    Normal-Deviation(q,s,T), or No-Disk(q,s)
    (checked in that order) return a point x, insert
    x into S.
  • Repeat 2. until no points are inserted.
  • Return Del SD.

21
Admissibility is Invariant
  • Lemma. The algorithm never attempts to insert a
    point in any protecting ball
  • Since no 3 weighted points intersect,
  • all surface points (intersections of dual Voronoi
    edges and D) lie outside of every protecting ball

22
Initialization
  • The algorithm must initialize with a few points
    from each patch in D2
  • Otherwise, components can be missed.

23
Termination
  • Each point x inserted is O(lfsd(x)) away from all
    other points.
  • Standard packing argument follows.

24
Topology Preservation
  • To satisfy C1-C4 of eTBP, we show each Voronoi
    k-face F Vp1 ? ? Vp(4-k) has
  • (P1) If F ? s ? ?, for s ? Dj, the intersection
    is a (kj-3)-ball
  • (P2) There is a unique lowest dimensional sF s.t.
    p1, , p(4-k)?sF.
  • (P3) F intersects sF and only incident elements
    of sF.
  • Theorem. If S satisfies P1-P3 then S satisfies
    C1-C4 of eTBP.

25
Feature Preservation
  • hD ? Del SD can be constructed which
    respects each Di ES97.
  • Thus hiDi ? Del SDi also a homeomorphism
    with vertex restrictions, ensuring that the
    nonsmooth features are preserved.

26
Delaunay Refinement made practical for PSCs
S.-W. Cheng, Tamal K. Dey, Joshua Levine
27
Definitions
  • For a patch s ? Di,
  • When sampled with S
  • Del Ss is the Delaunay subcomplex restricted to
    s
  • Skli Ss is the i-dimensional subcomplex of Del
    Ss,
  • Skli Ss closure t
  • t ? Del Ss is an i-simplex
  • Skli SDi ?s ? Di Skli Ss

28
Disk Condition
  • For a point p on a 2-face s,
  • UmbD(p) is the set of triangles in Skl2 SD2
    incident to p.
  • Umbs(p) is the set of triangles in Skl2 Ss
    incident to p.
  • Disk_Condition(p) requires
  • UmbD(p) ?s, p ? s Umbs(p)
  • For each s containing p, Umbs(p) is a 2-disk
    where p is in the interior iff p ? int s

29
Meshing Algorithm
  • DelPSC(D, r)
  • Protect elements of D1.
  • Mesh2Complex Repeatedly insert surface points
    for triangles in Skl2 Ss for some s if either
  • Disk_Condition(p) violated for p ? s, or
  • A triangle has orthoradius gt r.
  • Mesh3Complex Repeatedly insert orthocenters of
    tetrahedra in Skl3 Ss for some s if
  • A tetrahedra has orthoradius gt r and its
    orthocenter does not encroach any surface
    triangle in Skl2 SD2.
  • Return ?i Skli SDi.

30
Termination Properties
  • Curve Preservation
  • For each s ? D1, Skl1 Ss ? s. Two vertices are
    joined by an edge in Skl1 Ss iff they were
    adjacent in s.
  • Manifold
  • For 0 i 2, and s ? Di, Skli Ss is a manifold
    with vertices only in s. Further, bd Skli Ss
    Skli-1 Sbd s.
  • For i3, the above holds when Skli Ss is
    nonempty after Mesh2Complex.
  • Strata Preservation
  • There exists some r gt 0 so that the output of
    DelPSC(D, r) is homeomorphic to D.
  • This homeomorphism respects stratification.

31
Voronoi Cells Intersect Discly
  • Given a vertex p on a 2-face s, if
  • Triangles incident to p in Skl2 Ss are small
    enough.
  • Then,
  • Vps is a topological disk,
  • Any edge of Vps intersects s at most once, and
  • Any facet of Vps which intersects s does so in
    an open curve.

32
TBP holds globally
  • if
  • All triangles incident in Skl2 Ss are smaller
    than a bound for all 2-faces,
  • Then
  • TBP holds globally
  • This leads to the proof of ETBP and moretopic of
    a new unpublished paper.

33
Adjusting MaxRad Example
34
Adjusting MaxRad Example
35
Examples
36
Examples
37
Examples
38
Examples
39
Examples
40
Examples
41
Examples
42
Examples
43
Examples
44
Examples
45
Sharp Example
46
Conclusions
  • Delaunay meshing for PSC with guarantees.
  • Feature preservation is an extra feature.
  • Making computations easier, faster?
  • Analyzing size complexity?
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