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The Essentials of CAGD Chapter 10: B-Spline Curves Gerald Farin & Dianne Hansford CRC Press, Taylor & Francis Group, An A K Peters Book www.farinhansford.com/books/essentials-cagd 2000 c Farin & Hansford The Essentials of CAGD


  1. The Essentials of CAGD Chapter 10: B-Spline Curves Gerald Farin & Dianne Hansford CRC Press, Taylor & Francis Group, An A K Peters Book www.farinhansford.com/books/essentials-cagd � 2000 c Farin & Hansford The Essentials of CAGD 1 / 47

  2. Outline Introduction to B-Spline Curves 1 Basic Definitions 2 The de Boor Algorithm 3 Practicalities of the de Boor Algorithm 4 Properties of B-spline Curves 5 B-splines: The Building Block 6 Knot Insertion 7 Periodic B-spline Curves 8 Derivatives 9 Farin & Hansford The Essentials of CAGD 2 / 47

  3. Introduction to B-Spline Curves B-spline curves provide a more complete theory of splines compared with composite B´ ezier curves Sometimes called NURBS (Non-Uniform Rational B-Splines) Farin & Hansford The Essentials of CAGD 3 / 47

  4. Basic Definitions B´ ezier curve x ( t ) = b 0 B n 0 ( t ) + . . . + b n B n n ( t ) – Properties determined by basis functions B n i – Each Bernstein basis function is a polynomial function B-spline curve x ( u ) = d 0 N n 0 ( u ) + . . . + d D − 1 N n D − 1 ( u ) – Defined by piecewise polynomial basis functions – N n i ( u ) are the degree n B-splines – de Boor points or control points d i Farin & Hansford The Essentials of CAGD 4 / 47

  5. Basic Definitions Three cubic B-spline curves – Each has same number of de Boor points – Number of polynomial segments? – Continuity? Farin & Hansford The Essentials of CAGD 5 / 47

  6. Basic Definitions Degree n B-spline curve defined by control polygon d 0 , . . . , d D − 1 Also defined by a knot sequence u 0 , . . . , u K − 1 where u i +1 ≥ u i Up to n consecutive knots may coincide D = K − n + 1 D equal to number of consecutive n -tuples of knots Farin & Hansford The Essentials of CAGD 6 / 47

  7. Basic Definitions Domain knots u n − 1 , . . . , u K − n Parameter values within this range used for evaluating a B-spline curve u n − 1 is the last knot in the first n -tuple u K − n is the first knot in the last n -tuple Up to n knots may coincide – Number of coincident values is the multiplicity If the first and last n knots are multiplicity n ⇒ Curve passes through the first and last de Boor points Knot with multiplicity one called a simple knot Farin & Hansford The Essentials of CAGD 7 / 47

  8. Basic Definitions If u i = u i +1 then the interval [ u i , u i +1 ] has length zero Number of polynomial segments L equal to the number of nonzero length intervals within the domain knots If all interior domain knots u n , . . . , u K − n − 1 are simple ⇒ L = K − 2 n + 1 or L = D − n Span: interval [ u i , u i + m ] for m > 0 – Span of length m – Number of spans of length n equals number of legs of the control polygon Farin & Hansford The Essentials of CAGD 8 / 47

  9. Basic Definitions Example: Top cubic curve in previous Figure Knot sequence – Number of knots K = 9 u 0 u 1 u 2 u 3 u 4 u 5 u 6 u 7 u 8 0 0 0 1 2 3 4 4 4 u 0 = u 1 = u 2 ⇒ multiplicity 3 u 6 = u 7 = u 8 ⇒ multiplicity 3 All other knots are simple knots Number of de Boor points D = 9 − 3 + 1 = 7 Domain knots u 2 , . . . , u 6 (solid circle on the curve) First and last circle correspond to the first and last de Boor point L = 4 polynomial segments Farin & Hansford The Essentials of CAGD 9 / 47

  10. Basic Definitions Example: Middle cubic curve in Figure Knot sequence – Number of knots K = 9 u 0 u 1 u 2 u 3 u 4 u 5 u 6 u 7 u 8 0 0 0 1 1 1 2 2 2 Number of control points D = 7 Domain knots: u 2 , . . . , u 6 Multiplicity of the knots equal to the degree ⇒ curve passes through the de Boor points – Influences the smoothness of the curve segments L = 2 polynomial segments Farin & Hansford The Essentials of CAGD 10 / 47

  11. Basic Definitions Example: Bottom cubic curve in Figure Knot sequence – Number of knots K = 9 u 0 u 1 u 2 u 3 u 4 u 5 u 6 u 7 u 8 0 1 2 3 4 5 6 7 8 All knots simple Number of control points D = 7 Domain knots are u 2 , . . . , u 6 L = 4 polynomial segments ————————————————- Some texts add one extra knot at either end of the knot sequence – Not necessary – Made popular by a flaw in the data exchange standard IGES Farin & Hansford The Essentials of CAGD 11 / 47

  12. The de Boor Algorithm B-spline curves evaluated using the de Boor algorithm – Named after Carl de Boor who did pioneering work on B-splines – Algorithm uses repeated linear interpolation Let evaluation parameter u be within domain knots Determine the index I such that u I ≤ u < u I +1 ⇒ u ∈ [ u I , u I +1 ) ⊂ [ u n − 1 , u K − n ] Exception: u = u K − n then set I = K − n − 1 last domain interval Farin & Hansford The Essentials of CAGD 12 / 47

  13. The de Boor Algorithm The de Boor algorithm computes u i + n − k − u u − u i − 1 d k − 1 d k − 1 d k i ( u ) = i − 1 ( u ) + ( u ) i u i + n − k − u i − 1 u i + n − k − u i − 1 k = 1 , . . . , n , for and i = I − n + k + 1 , . . . , I + 1 The point on the curve is x ( u ) = d n I +1 ( u ) Farin & Hansford The Essentials of CAGD 13 / 47

  14. The de Boor Algorithm Convenient schematic tool – triangular diagram: d I − n +1 . . d 1 . I − n +2 . . . . . . . . d 1 d n d I +1 . I +1 I +1 One evaluation involves n + 1 de Boor points ⇒ B-splines known for local control Geometric interpretation of the de Boor algorithm: – Each step is simply linear interpolation – May be viewed as an affine map d k − 1 i − 1 , d k − 1 [ u i + n − k , u i − 1 ] ⇒ i Point d k i is the image of u under this affine map Farin & Hansford The Essentials of CAGD 14 / 47

  15. The de Boor Algorithm Farin & Hansford The Essentials of CAGD 15 / 47

  16. The de Boor Algorithm Example: Linear ( n = 1) B-spline curve given by the control polygon � − 1 � � 0 � � 1 � � 1 � , , , 0 1 1 2 and the knot sequence 0 1 2 3 u 0 u 1 u 2 u 3 Number of segments L = 3 Evaluate at parameter value u = 1 . 5 Parameter value in knot interval [ u 1 , u 2 ] ⇒ I = 1 Only one stage with i = 2 2 ( u ) = u 2 − u 1 ( u ) + u − u 1 d 1 d 0 d 0 2 ( u ) u 2 − u 1 u 2 − u 1 � 0 � � 1 � � 0 . 5 � x (1 . 5) = d 1 2 (1 . 5) = 0 . 5 + 0 . 5 = 1 1 1 Farin & Hansford The Essentials of CAGD 16 / 47

  17. The de Boor Algorithm Example: quadratic ( n = 2) Farin & Hansford The Essentials of CAGD 17 / 47

  18. The de Boor Algorithm Example: cubic ( n = 3) Farin & Hansford The Essentials of CAGD 18 / 47

  19. Practicalities of the de Boor Algorithm Take a look at knot multiplicity and a data structure Evaluation for display: – Choose an increment to step along the curve – For piecewise polynomials: specify increment for each segment (Avoid missing a piece of the curve) – Segments correspond to non-zero length knot intervals – Want to avoid plotting zero-length segments ⇒ Label non-zero length segments as part of data structure Farin & Hansford The Essentials of CAGD 19 / 47

  20. Practicalities of the de Boor Algorithm Expanded knot sequence: Floating point array with every knot stored explicitly Alternative approach: – Store only the unique floating point values – Create an integer array indicating knot multiplicity ⇒ knot multiplicity vector Example: 0 . 0 0 . 0 0 . 0 1 . 0 2 . 0 3 . 0 3 . 0 4 . 0 5 . 0 5 . 0 5 . 0 u 0 u 1 u 2 u 3 u 4 u 5 u 6 u 7 u 8 u 9 u 10 3 0 0 1 1 2 0 1 3 0 0 Example: 5 . 0 6 . 0 10 . 0 11 . 0 12 . 5 u 0 u 1 u 2 u 3 u 4 1 1 1 1 1 Search only within the domain knots for non-zero length intervals Farin & Hansford The Essentials of CAGD 20 / 47

  21. Practicalities of the de Boor Algorithm Given parameter value u u ∈ [ u I , u I +1 ) ⊂ [ u n − 1 , u K − n ] and u I � = u I +1 (Exception for u = u K − n : set I = K − n − 1 – the last domain interval) Determine interval it is in and multiplicity r – If u = u I ⇒ r is multiplicity of u I , otherwise r = 0 Simplify the de Boor algorithm u i + n − k − u u − u i − 1 d k d k − 1 d k − 1 i ( u ) = i − 1 ( u ) + ( u ) i u i + n − k − u i − 1 u i + n − k − u i − 1 k = 1 , . . . , n − r , for and i = I − n + k + 1 , . . . , I + 1 The point on the curve is x ( u ) = d n − r I +1 − r ( u ) Farin & Hansford The Essentials of CAGD 21 / 47

  22. Properties of B-spline Curves Affine invariance Differentiability: At a simple knot u i curve is C n − 1 At knot with multiplicity r curve is C n − r Endpoint interpolation: Full multiplicity at end knots ⇒ curve will pass through end control points If u 0 = . . . = u n − 1 ⇒ x ( u n − 1 ) = d 0 If u K − n = . . . = u K − 1 ⇒ x ( u K − n ) = d D − 1 Farin & Hansford The Essentials of CAGD 22 / 47

  23. Properties of B-spline Curves Local control: Change a control point d i ⇒ Only the closest n + 1 curve segments change Curve degrees (from top): n = 2 , 3 , 4 – Affected curve areas become larger as the degree increases Property clear from de Boor algorithm Makes B-spline curves flexible – Can modify only part of curve Farin & Hansford The Essentials of CAGD 23 / 47

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