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Splines IV – B- spline Curves

Splines IV – B- spline Curves. based on: Michael Gleicher : Curves , chapter 15 in Fundamentals of Computer Graphics, 3 rd ed. (Shirley & Marschner ) Slides by Marc van Kreveld. Interpolation vs. approximation.

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Splines IV – B- spline Curves

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  1. Splines IV – B-spline Curves based on: Michael Gleicher: Curves, chapter 15 in Fundamentals of Computer Graphics, 3rd ed. (Shirley & Marschner) Slides by Marc van Kreveld

  2. Interpolation vs. approximation • Interpolation means passing through given points, approximation means getting “close” to given points • Bézier curves and B-spline curves p2 p2 p1 p1 p0 p3 p0 p3 p1and p2are interpolated p1and p2are approximated

  3. B-spline curves • Approximates all control points • Polynomials of any degree d • Cd-1 continuous everywhere

  4. B-spline curves • A linear combination ofthe control points • The bi(t) are the basis functionsand show how to blend the points • The basis functions are splines themselves  B-splines the contribution of point pi to the curve depending on the parameter value t bi(t) t

  5. B-splines and B-spline curves pi-1 pi pi+1 bi(t) bi-1(t) bi+1(t) 0.55 0.3 0.15 t t’

  6. B-splines and B-spline curves pi-1 pi bi-1(t’)=0.15 bi(t’)=0.55 pi+1 bi(t) bi-1(t) bi+1(t) 0.55 bi+1(t’)=0.3 0.3 0.15 t t’

  7. B-splines and B-spline curves pi-1 pi pi+1 bi(t) bi-1(t) bi+1(t) 0.55 the blended point determined by pi-1, pi , pi+1 and their basis functions 0.3 0.15 t t’

  8. B-spline curves • A B-spline curve of n points and parameter value k • is Ck-2 continuous • is made of polynomials of degree k – 1 • has local control: any location on the curve is determined by only k control points • is bounded by the convex hull of the control points • has the variation diminishing property (any line intersects the B-spline curve at most as often as that line intersects the control polygon)

  9. Types of B-splines • Uniform linear B-splines • Uniform quadratic B-splines • Uniform cubic B-splines • Non-uniform B-splines • NURBS (non-uniform rational B-splines)  To define the B-splines is to define the B-spline curve

  10. Uniform linear B-splines • Basis functions are piecewise linear, for example: i ti+1 i+1 ti+2 otherwise 1 b1,2(t) 1 2 3 4 5 knots

  11. Uniform linear B-splines 1 b1,2(t) 1 2 3 4 5 1 b2,2(t) 1 2 3 4 5 1 b3,2(t) 1 2 3 4 5

  12. Uniform linear B-splines • Basis functions are piecewise linear, for example: • The B-spline curve can be used for parameter values t [2, n+1] (the t where the bi,2(t) sum up to 1), given points p1, p2, …, pn • The B-spline curve is just the polygonal line through the control points; only two B-splines are non-zero for any t i ti+1 i+1 ti+2 otherwise

  13. Uniform linear B-splines • Each B-spline has 3 knots and they are uniformly spaced  They are shifted copies of each other • In total there are n+2 knots (at 1, 2, …, n+2) 1 b1,2(t) 1 2 3 4 5 1 b2,2(t) 1 2 3 4 5 1 b3,2(t) 1 2 3 4 5

  14. Uniform quadratic B-splines • Uniform quadratic B-splines bi,3(t) have knots at i, i+1, i+2, and i+3 • They are shifted copies of each other 1 b1,3(t) 1 2 3 4 5 t

  15. Uniform quadratic B-splines if t [i, i+1] u = t – i if t [i+1, i+2] u = t – (i+1) if t [i+2,i+3] u = t – (i+2) otherwise u is set to be in [0,1] for the t-range 1 b1,3(t) 0.5 1 2 3 4 5 t

  16. Quadratic B-spline curve knot p6 p5 p3 p2 p5p6p7 p2p3p4 p1p2p3 p4p5p6 p3p4p5 p1 p7 p4 control points defining this piece of curve between the knots

  17. Uniform quadratic B-splines • At the 4 knots, the left and right derivatives are equal C1 continuous B-splines  C1 continuous B-spline curve 1 b2,3(t) 0.5 1 2 3 4 5 t – 0.5 b’2,3(t) (derivative) – 1

  18. Uniform quadratic B-splines • At the 4 knots, the left and right derivatives are equal C1 continuous B-splines  C1 continuous B-spline curve • Starting at t = 3, the B-splines sum up to exactly 1 b2,3(t) b3,3(t) b4,3(t) b5,3(t) 1 b1,3(t) 0.5 1 2 3 4 5 t

  19. Uniform quadratic B-splines • Suppose ncontrol points • Then nB-splines and n+3 knots • The B-spline curve has n – 2 quadratic pieces, starting at the 3rd knot and ending at the n+1st knot

  20. Uniform quadratic B-splines • What is the starting point and what is the ending point of the uniform quadratic B-spline curve using control points p1, p2, …, pn ?

  21. Uniform cubic B-splines • Uniform cubic B-splines bi,4(t) have knots at i, i+1, i+2, i+3 and i+4 • They are shifted copies of each other 1 b1,4(t) 2/3 0.5 1 2 3 4 5 6 t

  22. Uniform cubic B-splines if t [i, i+1] u = t – i if t [i+1, i+2] u = t – (i+1) if t [i+2,i+3] u = t – (i+2) if t [i+3,i+4] u = t – (i+3) otherwise 1 b1,4(t) 2/3 0.5 1 2 3 4 5 6 t

  23. Uniform cubic B-splines • Every location on the B-spline curve is determined by four control points and their B-splines • Starting at the 4th knot, t = 4, the B-spline curve can be used because the B-splines sum up to 1 • A cubic B-spline is C2 continuous (the 1st and 2nd derivatives from the left and right are the same at the knots)  a cubic B-spline curve is C2 continuous

  24. Uniform cubic B-splines • At what height are the second and fourth knots of a cubic B-spline? • What weight of what control points determines the first point of a B-spline curve?

  25. Closed uniform B-spline curves • Simply repeat the first k – 1 points as the last points • quadratic: p1, p2, …, pn p1, p2, …, pn, p1, p2 • cubic: p1, p2, p3, …, pn p1, p2, …, pn, p1, p2, p3

  26. Non-uniform B-splines • Uniform B-splines have knots at 1, 2, 3, …, but generally knots can have any value  non-uniform B-splines • The knot vector t = [t1, … , tn+k] is a sequence of non-decreasing values specifying where the knots for the parameter range t occur

  27. Non-uniform B-splines • We can repeat control points and combine the consecutive B-splines into one allows more local control • We can repeat knots and adapt the B-splines affected allows more local control • When we have a sequence of control points and a useful parameter range k, ..., n+1, we may want to insert an extra point (and knot) in the middle without changing the parameter range near the ends

  28. Cox-de Boor recurrence • Cox-de Boor recurrence for defining B-splines with parameter kand knot vector t = [t1, … , tn+k]: if ti t < ti+1 otherwise The recurrence shows that parameter k B-splines are a weighted interpolation of parameter k– 1 B-splines, with weights linearly dependent on t

  29. Repeating control pointsin B-spline curves • Consider quadratic B-spline curves, in the figure: • Five B-splines of control points • 5+3 = 8 knots (t = 1, 2, ..., 8), useful in interval [3, 6] p2 p3 p4 p5 p1 b2,3(t) b3,3(t) b4,3(t) b5,3(t) 1 b1,3(t) 0.5 1 2 3 4 5 7 6 8 t

  30. Repeating control pointsin B-spline curves • Consider quadratic B-spline curves, in the figure: • Suppose p1 is repeated • 9 knots, useful interval [3, 7] p1 p2 p3 p4 p5 p1 b’1,3(t) b2,3(t) b3,3(t) b4,3(t) b5,3(t) 1 b1,3(t) 0.5 1 2 3 4 5 7 6 8 9 t

  31. Repeating control pointsin B-spline curves • Consider quadratic B-spline curves, in the figure: • Suppose p1 is repeated • 9 knots, useful interval [3, 7] • The B-spline curve starts at p1 at knot 3 b1,3(t) + b’1,3(t) p2 p3 p4 p5 b2,3(t) b3,3(t) b4,3(t) b5,3(t) 1 p1 0.5 1 2 3 4 5 7 6 8 9 t

  32. Repeating control pointsin B-spline curves • Consider quadratic B-spline curves, in the figure: • Suppose p3 is repeated • 9 knots, useful interval [3, 7] p3 p3 p2 p4 p5 p1 b3,3(t) b’3,3(t) b2,3(t) b4,3(t) b5,3(t) 1 b1,3(t) 0.5 1 2 3 4 5 7 6 8 9 t

  33. Repeating control pointsin B-spline curves • Consider quadratic B-spline curves, in the figure: • Suppose p3 is repeated • 9 knots, useful interval [3, 7] • The B-spline curve passes through point p3 p3 p2 p4 p5 b3,3(t) + b’3,3(t) p1 b2,3(t) b4,3(t) b5,3(t) 1 b1,3(t) 0.5 1 2 3 4 5 7 6 8 9 t

  34. Repeating control pointsin B-spline curves • For a B-spline curve with parameter k (degree k – 1), it will pass through the first and last control points if each occurs k – 1 times • Similarly, we can make it pass through an intermediate control point by having k – 1 copies of that control point • The level of geometric continuity, G, at an intermediate repeated control point decreases

  35. Repeating control pointsin B-spline curves • On the parameter interval [4,5], only p2 and p3 have a non-zero B-spline  the curve is a line segment! Also on parameter interval [5,6] p3 p2 p4 p5 b3,3(t) + b’3,3(t) p1 b2,3(t) b4,3(t) b5,3(t) 1 b1,3(t) 0.5 1 2 3 4 5 7 6 8 9 t

  36. Repeating control pointsin B-spline curves p6 p5 p3 p2 p5p6p7 p4p5p6 p2p3p4 p1p2p3 p3p4p5 knot 3 p1 p7 p4 quadratic B-spline curve

  37. Repeating control pointsin B-spline curves p6 p5 p3 p2 p5p6p7 p4p5p6 p2p3p4 p1p2p3 knot 3 p1 p3p4 p4p5 p7 repeated control point p4 p4 quadratic B-spline curve with repeated control point

  38. Repeating control pointsin B-spline curves • The quadratic B-spline curve remains C1 although it is only G0 at the repeated control point p3 p2 p4 p5 b3,3(t) + b’3,3(t) p1 b2,3(t) b4,3(t) b5,3(t) 1 b1,3(t) 0.5 1 2 3 4 5 7 6 8 9 t

  39. Repeating control pointsin B-spline curves p6 p5 p3 p2 p5p6p7 p4p5p6 p2p3p4 p1p2p3 knot 3 p1 p3p4 p4p5 p7 repeated control point p4 p4 quadratic B-spline curve with repeated control point

  40. Repeating knots in B-spline curves • Repeating a knot means that one sequence of control points no longer occurs • For example, for quadratic B-spline curves, the part between knots 4 and 5 (was based on points p2p3p4 ) • The curve part before (based on points p1p2p3 ) directly connects to the curve part after (based on points p3p4p5) • The B-splines get different shapes to accommodate the missing part

  41. Repeating knots in B-spline curves • Repeating a knot means that one sequence of control points no longer occurs • For example, for quadratic B-spline curves, the part between knots 4 and 5 (was based on points p2p3p4) b2,3(t) b3,3(t) b4,3(t) b5,3(t) 1 b1,3(t) 0.5 1 2 3 4 5 7 6 8 t

  42. Repeating knots in B-spline curves • Repeating a knot means that one sequence of control points no longer occurs • For example, for quadratic B-spline curves, the part between knots 4 and 5 (was based on points p2p3p4) b3,3(t) b4,3(t) b5,3(t) b2,3(t) 1 b1,3(t) 0.5 = 1 2 3 4 5 7 6 8 t

  43. Repeating knots in B-spline curves • Repeating a knot means that one sequence of control points no longer occurs • For example, for quadratic B-spline curves, the part between knots 4 and 5 (was based on points p2p3p4) b3,3(t) b2,3(t) b4,3(t) 1 b1,3(t) b5,3(t) 0.5 1 2 3 7 6 8 5 4 t

  44. Repeating knots in B-spline curves p6 p5 p3 p2 p5p6p7 p4p5p6 p2p3p4 p1p2p3 p3p4p5 knot 3 p1 p7 p4 repeat knot 5 quadratic B-spline curve

  45. Repeating knots in B-spline curves p6 p5 p3 p2 p5p6p7 p4p5p6 p2p3p4 p1p2p3 knot 3 p1 p7 p4 knot 5 = 6 quadratic B-spline curve with repeated knot

  46. Repeating knots in B-spline curves • Repeating a control point creates line segments on either side, but repeating a knot does not have this effect on quadratic B-spline curves • Repeating a knot twice (three same knots in a sequence) creates a discontinuity in a quadratic B-spline curve • Two consecutive curve parts have no point in common • The curve part before the two disappearing parts (e.g., based on points p1p2p3 ) is disconnected from the curve part after those parts (based on points p4p5p6 )

  47. Repeating knots in B-spline curves p6 p5 p3 p2 p5p6p7 p4p5p6 p2p3p4 p1p2p3 p3p4p5 knot 3 p1 p7 p4 repeat knot 5 twice quadratic B-spline curve

  48. Repeating knots in B-spline curves p6 p5 p3 p2 p5p6p7 p2p3p4 p1p2p3 knot 3 p1 p7 p4 knot 5 = 6 = 7 quadratic B-spline curve

  49. Repeating knots in B-spline curves • In cubic B-spline curves • a double knot gives C1and G1 continuity • a triple knot gives C0and G0continuity • a quadruple knot disconnects the curve • a triple knot at the start lets p1 be the start of the curve • a triple knot at the end lets pn be the end of the curve

  50. Repeating knots in B-spline curves • For cubic B-spline curves: • a double knotgives C1continuity • a triple knotgives C0 continuity

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