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Analysis techniques for subdivision schemes

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Title: Analysis techniques for subdivision schemes


1
Analysis techniques for subdivision schemes
Joe Warren Rice University
2
A teaser for subdivision gurus
  • Consider the basis function n(t) for the
    standard, four point interpolatory scheme.
  • Note this function is not piecewise polynomial!
  • What is the exact value of n(?) as a rational
    number?

3
Choosing a modeling technology
  • Many possibilities points, polygons,
    algebraics, implicits, NURBS, subdivision
    surfaces
  • Choice based on various factors
  • Ease of use
  • Expressiveness
  • Computational efficiency
  • Analysis techniques
  • Subdivision surfaces strong on first three
    points, perceived as weak on last

4
Typical analysis problems
  • Determine the smoothness of a given curve/surface
    scheme.
  • Perform exact evaluation of positions, tangents
    and inner products for a given curve/surface
    scheme.
  • Interpolate a networks of curves using a given
    surface scheme.

5
Analysis of subdivision schemes using linear
algebra
  • Convergence/smoothness analysis for subdivision
    schemes
  • D S T D
  • Exact computation of values, derivatives and
    inner products for subdivision schemes
  • N S N
  • ST E S E
  • Interpolation of curves using subdivision schemes
  • M S C M

6
Example Cubic subdivision
Add new vertices between pairs of consecutive
vertices, repositioned via rules
7
Example Catmull-Clark subdivision
8
Subdivision as linear algebra
  • Express positions of vertices of coarse and fine
    mesh as column vectors pk and pk1
  • Construct subdivision matrix S whose rows
    correspond to rules for scheme
  • Relate vectors via the subdivision relation
  • pk1 S pk
  • Apply linear algebra to S to analyze and
    manipulate the scheme

9
Subdivision matrix for cubics
Rows of subdivision matrix S alternate between
rules and Consider only 5x5
sub-matrix centered at fixed mesh vertex
10
Part I Smoothness analysis
  • Given a scheme, are the limit meshes produced by
    the scheme Cn continuous?
  • Observe that pk is related to p0 via
  • pk Sk p0
  • Compute diagonal matrix ? of eigenvalues and
    matrix Z of right eigenvectors satisfying
  • SZ? Z-1

11
Right eigenvectors polynomials
  • Theorem If scheme is Cn continuous, let Zp
    denoted those right eigenvectors of Z with
    eigenvalues (½)j where 0 j n.
  • Then the right eigenvectors of Zp converge to
    polynomials of degree at most n.
  • C2 cubic example

12
Smoothness condition
  • Build difference matrix D that annihilates Zp
  • D Zp 0
  • Construct matrix T that satisfies relation
  • (2n D) S T D
  • T is subdivision matrix for differences D pk
  • (2n D) pk1 T D pk
  • Theorem If there exists kgt0 withTk8lt 1, the
    limit meshes for the scheme are Cn

13
Smoothness for cubic splines
  • Form difference matrix D as nullspace of Zp
  • Compute subdivision matrix T for differences
  • Observe that T8½ so scheme is C2

14
Non-uniform subdivision schemes
  • Tri/quad subdivision - mesh of triangles/quads
  • Methods - Loop/Stam, Levin2, Schaefer/Warren

15
C2 analysis for tri/quad schemes
  • Construct matrix S for tri/quad interface
  • Compute Zp, D, and T from S
  • Attempt to find kgt0 such that Tk8lt1
  • Problems
  • D and T are not uniquely determined
  • Bounding Tk8 is difficult since number of
    distinct rows in Tk grows exponentially
  • For non-uniform schemes, assembling these rows is
    a tricky computation

16
Simpler smoothness test (Levin2)
  • Construct finite sub-matrices S0 and S1 of matrix
    S centered along tri/quad interface

S0
17
Simpler smoothness test (Levin2)
  • Construct finite sub-matrices S0 and S1 of matrix
    S centered along tri/quad interface

S1
18
Joint spectral radius condition
  • Compute finite subdivision matrices T0 and T1
  • 4D S0 T0 D
  • 4D S1 T1 D
  • Theorem If there exists a kgt0 such that
  • Te1Te2Tek 8lt1
  • for all ei 0,1, the scheme is C2

19
Part II Exact evaluation
  • Problem Given a scheme, compute exact values
    for positions and tangents of limit mesh at
    arbitrary locations.
  • Problem Given a scheme, compute the exact value
    for inner products of functions defined via the
    scheme.

20
Exact position on limit mesh
  • Treat mesh as being parameterized by t
  • Compute limit position of mesh at arbitrary t
  • For piecewise polynomial schemes, blossom right
    eigenvectors (Stam)
  • For non-polynomial schemes, develop method to
    evaluate mesh at rational pts ti/j
  • Get tangents by evaluating difference scheme

21
Two-scale relation
  • Let n(t) be the basis function associated with
    subdividing the vector p0(, 0, 1, 0, )T
  • n(t) satisfies a two-scale relation of the form
  • Coefficients si form columns of S

22
Exact evaluation at rational pts
  • Key To compute n(i/j), treat value of n(t) on
    the integer grid as being unknowns
  • Use two-scale relation to setup system of
    equations relating these unknowns
  • Solve equations to generate exact values
  • Solution is dominant left eigenvector of
    upsampled S generated using power method

23
Exact values of n(i/3) for cubics
  • Examples of equations generated by two-scale
  • Exact values from 2 to 2

24
Values of n(i/3) for 4 pt scheme
  • Four point scheme non-polynomial scheme
  • Exact values for 3 to 0

25
Exact valuation of inner products
  • Given p0 and q0, compute inner product
  • where p(t)p8 and q(t)q8
  • Applications include fitting, fairing, mass
    properties
  • Previous work compute using polynomial rep with
    infinite sums at extraordinary vertices (Peters,
    Reif)

26
A relation for inner products
  • Define inner product matrix E satisfying
  • Express p(t) and q(t) as combinations of n(t-i)
  • Express as sum of
    inner products of translated n(2t) via two-scale
    eqs
  • ST E S 2 E

27
Enclosed area as an inner product
  • Input is closed polygon whose x and y coordinates
    are p0 and q0, respectively
  • Defines smooth curve with param (p(t),q(t))
  • Enclosed area is inner product
  • Construct scheme T for derivatives, solve for
    inner product matrix E from
  • ST E T E

28
Enclosed area for 4 point curves
  • Rows of inner product matrix E are shifts of
  • Inscribe base polygon in unit circle - graph area

29
Enclosed area for 4 point curves
Rows of inner product matrix E are shifts
of Inscribe base polygon in unit circle - graph
area
30
Enclosed area for 4 point curves
Rows of inner product matrix E are shifts
of Inscribe base polygon in unit circle - graph
area
31
Enclosed area for 4 point curves
Rows of inner product matrix E are shifts
of Inscribe base polygon in unit circle - graph
area
32
Enclosed area for 4 point curves
Rows of inner product matrix E are shifts
of Inscribe base polygon in unit circle - graph
area
33
Enclosed area for 4 point curves
Rows of inner product matrix E are shifts
of Inscribe base polygon in unit circle - graph
area
34
Part III - Lofting
  • Problem Build a subdivision scheme C for curve
    nets lying on a Catmull-Clark surface.
  • Previous work polygonal complexes (Nasri)

35
A scheme for curve nets
  • Ordinary parts of Catmull-Clark surfaces are
    bicubic splines.
  • Subdivision rules for curve nets at
  • Valence two vertices normal cubic rules
  • Valence four vertices special interpolating
    rule for two intersecting cubics
  • Other valences next talk

36
An interpolating rule for cubics
  • Modify subdivision rules at vertex v of cubic
    such that v always lies at its limit position

37
The commutative relation
  • Given subdivision matrix Cu for uniform cubics
    and matrix N that positions v at limit, solve for
    non-uniform rules in C using
  • C N N Cu

38
Solving for C using the relation
  • Solve for interpolating rules by inverting N.
  • Yields special rules on two-ring of vertex v
  • Multiple cubics can interpolate v

39
Understanding the new rules
  • Construct two or more polygons passing through
    common vertex v
  • Apply rules to each polygon independently

40
Understanding the new rules
  • Construct two or more polygons passing through
    common vertex v
  • Apply rules to each polygon independently

41
Understanding the new rules
  • Construct two or more polygons passing through
    common vertex v
  • Apply rules to each polygon independently

42
Understanding the new rules
  • Construct two or more polygons passing through
    common vertex v
  • Apply rules to each polygon independently

43
Understanding the new rules
  • Construct two or more polygons passing through
    common vertex v
  • Apply rules to each polygon independently

44
Lofting the curve nets
  • Given curve scheme, find change of basis M where
    C commutes with S for Catmull-Clark
  • C M M S
  • Observe that commutative relation implies
  • Ck M M Sk
  • Therefore, S8p0 interpolates C8q0 where
  • q0M p0

45
Change of basis at valence two
  • Row of matrix M has form

46
Change of basis at valence four
  • Row of matrix M has form

47
Extraordinary vertices
  • For standard Catmull-Clark, curves passing
    through an extraordinary verts are not cubics
  • Modify the subdivision rules in the neighborhood
    of extraordinary vertices to allow interpolation
  • Idea Fix curve net rules, generate modified
    surface rules at extraordinary vertices

48
Generating modified surface rules
  • Expand commutative relation C MM S into block
    form
  • Solve locally for S via block decomposition
  • Dont form Sc explicitly, use filters!

49
Conclusions
  • Many important types of analysis are possible for
    subdivision schemes
  • Linear algebra, especially commutative relations,
    is the key to these analysis methods
  • Better theory supporting these analysis methods
    is needed
  • Many thanks to Scott Schaefer!
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