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Dr' Scott Schaefer

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Multi-affine: b(t1,t2,...,(1-u)tk u wk,,...tn) ... Multi-affine: is multi-affine. Diagonal: 31 /94. Degree Elevation Using Blossoming. 32 /94 ... – PowerPoint PPT presentation

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Title: Dr' Scott Schaefer


1
Blossoming and B-splines
  • Dr. Scott Schaefer

2
Blossoms/Polar Forms
  • A blossom b(t1,t2,,tn) of a polynomial p(t) is a
    multivariate function with the properties
  • Symmetry
  • b(t1,t2,,tn) b(tm(1),tm(2),,tm(n)) for any
    permutation m of (1,2,,n)
  • Multi-affine
  • b(t1,t2,,(1-u)tku wk,,tn)
  • (1-u)b(t1,t2,,tk,,tn) u b(t1,t2,,wk,,tn)
  • Diagonal
  • b(t,t,,t) p(t)

3
Blossoms/Polar Forms
  • A blossom b(t1,t2,,tn) of a polynomial p(t) is a
    multivariate function with the properties
  • Symmetry
  • b(t1,t2,,tn) b(tm(1),tm(2),,tm(n)) for any
    permutation m of (1,2,,n)
  • Multi-affine
  • b(t1,t2,,(1-u)tku wk,,tn)
  • (1-u)b(t1,t2,,tk,,tn) u b(t1,t2,,wk,,tn)
  • Diagonal
  • b(t,t,,t) p(t)

The blossom always exists and is unique!!!
4
Examples of Blossoms

5
Examples of Blossoms

6
Examples of Blossoms

7
Examples of Blossoms

8
Examples of Blossoms

9
Examples of Blossoms

10
Examples of Blossoms

11
Examples of Blossoms

12
Examples of Blossoms

13
Examples of Blossoms

14
Examples of Blossoms

15
Examples of Blossoms

16
Examples of Blossoms

17
Examples of Blossoms

18
Blossoms/Polar Forms
  • Symmetry b(t1,,tn) b(tm(1),,tm(n))
  • Multi-affine b(t1,,(1-u)tku wk,,tn)
  • (1-u)b(t1,,tk,,tn) u b(t1,,wk,,tn)
  • Diagonal b(t,,t) p(t)

19
Pyramid Algorithms forBezier Curves
20
Pyramid Algorithms forBezier Curves
21
Pyramid Algorithms forBezier Curves
Bezier curve
Bezier control points
22
Subdivision Using Blossoming
Control points of left Bezier curve!
23
Subdivision Using Blossoming
Control points of right Bezier curve!
24
Change of Basis Using Blossoming
  • Given a polynomial p(t) of degree n, find the
    coefficients of the same Bezier curve

25
Change of Basis Using Blossoming
  • Given a polynomial p(t) of degree n, find the
    coefficients of the same Bezier curve

26
Change of Basis Using Blossoming
  • Example Find Bezier coefficients of
    p(t)12t3t2-t3

Old Method
27
Change of Basis Using Blossoming
  • Example Find Bezier coefficients of
    p(t)12t3t2-t3

New Method
28
Degree Elevation
29
Degree Elevation Using Blossoming
30
Degree Elevation Using Blossoming
  • Symmetry is symmetric
  • Multi-affine is multi-affine
  • Diagonal

31
Degree Elevation Using Blossoming
32
Homogeneous Polynomials and Blossoming
  • Polynomial
  • Homogeneous Polynomial

33
The Homogeneous Blossom
  • Homogenize each parameter of the blossom
    independently

34
The Homogeneous Blossom
  • Homogenize each parameter of the blossom
    independently

35
The Homogeneous Blossom
  • Homogenize each parameter of the blossom
    independently

homogenized combinations
36
Homogeneous deCasteljau Algorithm
Really b((0,1),(0,1),(1,1))
37
Homogeneous deCasteljau Algorithm
38
Homogeneous deCasteljau Algorithm
39
Homogeneous deCasteljau Algorithm
Homogeneous blossom evaluated at (t,1) and (1,0)
yields derivatives!!!
40
Homogeneous Blossoms and Derivatives
41
Problems with Bezier Curves
  • More control points means higher degree
  • Moving one control point affects the entire curve

42
Problems with Bezier Curves
  • More control points means higher degree
  • Moving one control point affects the entire curve

43
Problems with Bezier Curves
  • More control points means higher degree
  • Moving one control point affects the entire curve

Solution Use lots of Bezier curves and maintain
Ck continuity!!!
44
Problems with Bezier Curves
  • More control points means higher degree
  • Moving one control point affects the entire curve

Solution Use lots of Bezier curves and maintain
Ck continuity!!!
Difficult to keep track of all the constraints. ?
45
B-spline Curves
  • Not a single polynomial, but lots of polynomials
    that meet together smoothly
  • Local control

46
B-spline Curves
  • Not a single polynomial, but lots of polynomials
    that meet together smoothly
  • Local control

47
B-spline Curves
  • Curve defined over a set of parameters t0,,tk
    (ti ti1) with a polynomial of degree n in
    each interval ti, ti1 that meet with Cn-1
    continuity
  • ti do not have to be evenly spaced
  • Commonly called NURBS
  • Non-Uniform Rational B-Splines

48
B-Spline Basis Functions
49
B-Spline Basis Functions
50
B-Spline Basis Functions
51
B-Spline Basis Functions
52
B-Spline Basis Functions
53
B-Spline Basis Functions
54
B-Spline Basis Functions
55
B-Spline Curves
56
B-Splines Via Blossoming
57
B-Splines Via Blossoming
58
B-Splines Via Blossoming
Single polynomial
59
B-Splines Via Blossoming
60
B-Splines Via Blossoming
61
B-Splines Via Blossoming
62
B-Splines Via Blossoming
63
B-Splines Via Blossoming
64
B-Splines Via Blossoming
n-1 derivatives are equal yielding Cn-1
continuity!!!
65
B-Splines Via Blossoming
66
B-Splines Via Blossoming
n-2 derivatives are equal yielding Cn-2
continuity at doubled knot!!!
67
B-Splines Via Blossoming
In general, curves have Cn-u continuity at knot
of multiplicity u
68
Conversion to Bezier Form
69
Conversion to Bezier Form
70
Conversion to Bezier Form
71
Polynomial Reproduction
  • Given a polynomial p(t) and a set of knots t1,
    t2, t3, , find control points for the b-spline
    curve that produces p(t)

72
Polynomial Reproduction
  • Given a polynomial p(t) and a set of knots t1,
    t2, t3, , find control points for the b-spline
    curve that produces p(t)

73
Polynomial Reproduction
  • Given a polynomial p(t) and a set of knots t1,
    t2, t3, , find control points for the b-spline
    curve that produces p(t)

74
Polynomial Reproduction
  • Given a polynomial p(t) and a set of knots t1,
    t2, t3, , find control points for the b-spline
    curve that produces p(t)

Control points!!!
75
Knot Insertion
  • Given a B-spline curve with knot sequence ,
    tk-2, tk-1, tk, tk1, tk2, tk3, generate the
    control points for an identical B-spline curve
    over the knot sequence , tk-2, tk-1, tk, u,
    tk1, tk2, tk3,

76
Boehms Knot Insertion Algorithm
  • Given curve with knots t1, t2, t3, t4, t5, t6,
    find curve with knots t1, t2, t3, u, t4, t5, t6

77
Boehms Knot Insertion Algorithm
  • Given curve with knots t1, t2, t3, t4, t5, t6,
    find curve with knots t1, t2, t3, u, t4, t5, t6

78
Boehms Knot Insertion Algorithm
  • Given curve with knots t1, t2, t3, t4, t5, t6,
    find curve with knots t1, t2, t3, u, u, t4, t5, t6

79
The Oslo Algorithm
  • Given curve with knots t1, t2, t3, t4, t5, t6,
    find curve with knots t1, t2, t3, u1, u2, u3, u4,
    t4, t5, t6

80
The Oslo Algorithm
  • Given curve with knots t1, t2, t3, t4, t5, t6,
    find curve with knots t1, t2, t3, u1, u2, u3, u4,
    t4, t5, t6

81
The Oslo Algorithm
  • Given curve with knots t1, t2, t3, t4, t5, t6,
    find curve with knots t1, t2, t3, u1, u2, u3, u4,
    t4, t5, t6

82
Degree Elevation for B-splines
  • Degree n B-splines meet with Cn-1 continuity
  • Degree n1 B-splines meet with Cn continuity
  • Must double knots to maintain same degree of
    continuity!!!

83
Subdivision for Non-Uniform B-splines
  • Given a knot sequence t1, t2, t3, t4, , insert
    knots u1, u2, u3, u4, such that ti ui
    ui1

84
Subdivision for Non-Uniform B-splines
  • Given a knot sequence t1, t2, t3, t4, , insert
    knots u1, u2, u3, u4, such that ti ui
    ui1
  • Double control points
  • At level 0ltkltn1, insert knots uk-1, uk, uk,
    uk1, uk1, into pyramid

85
Schaefers Algorithm
86
Schaefers Algorithm
87
Schaefers Algorithm
88
Schaefers Algorithm
89
Schaefers Algorithm
90
Schaefers Algorithm
91
B-spline Properties
  • Piecewise polynomial
  • Cn-u continuity at knots of multiplicity u
  • Compact support
  • Non-negativity implies local convex hull property
  • Variation Diminishing

92
B-spline Curve Example
93
B-spline Curve Example
94
B-spline Curve Example
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