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The Essentials of CAGD Chapter 8: Shape 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 / 29


  1. The Essentials of CAGD Chapter 8: Shape 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 / 29

  2. Outline Introduction to Shape 1 The Frenet Frame 2 Curvature and Torsion 3 Surface Curvatures 4 Reflection Lines 5 Farin & Hansford The Essentials of CAGD 2 / 29

  3. Introduction to Shape Surface geometry with reflection lines Often times a designer thinks of a curve in terms such as “fair,” “smooth,” or “sweet” How can such concepts be incorporated into computer programs? The central concept of any kind of shape description is curvature This chapter investigates shape analysis Farin & Hansford The Essentials of CAGD 3 / 29

  4. The Frenet Frame Discuss shape of a curve in local terms – Shape at a particular point x ( t ) Create a local coordinate system at x ( t ) – Use to express local curve properties Base system on first and second derivatives of the curve: x ( t ) ˙ and ¨ x ( t ) Farin & Hansford The Essentials of CAGD 4 / 29

  5. The Frenet Frame Local coordinate system (frame) defined by 3 vectors: – unit length and orthogonal x ( t ) ˙ t = tangent � ˙ x ( t ) � x ( t ) ∧ ¨ x ( t ) ˙ b = binormal � ˙ x ( t ) ∧ ¨ x ( t ) � n = b ∧ t normal Called the Frenet frame at x ( t ) Farin & Hansford The Essentials of CAGD 5 / 29

  6. The Frenet Frame Note: if either x ( t ) = 0 or x ( t ) ∧ ¨ x ( t ) = 0 ˙ ˙ ⇒ Frenet frame not defined Planar curves: binormal vector is constant Farin & Hansford The Essentials of CAGD 6 / 29

  7. The Frenet Frame F F F F F F F F F F F F F F F Let x ( t ) trace out points on curve Corresponding Frenet frames also slide along the curve Application: Positioning objects along a curve –Letter always at the same location relative to the Frenet frame Farin & Hansford The Essentials of CAGD 7 / 29

  8. The Frenet Frame Example: Farin & Hansford The Essentials of CAGD 8 / 29

  9. Curvature and Torsion How is the Frenet frame related to the shape of a curve? Move along the curve and observe how frame changes – More the curve is bent ⇒ the faster the frame will change Rate of change of the unit tangent vector t denotes the curvature of the curve – Straight line: curvature is zero – Circle: curvature is constant Curvature denoted by κ κ ( t ) = � ˙ x ( t ) ∧ ¨ x ( t ) � x ( t ) � 3 � ˙ Farin & Hansford The Essentials of CAGD 9 / 29

  10. Curvature and Torsion Curvature related to circle that best approximates the curve at x ( t ) – Called the osculating circle – Radius ρ = 1 /κ – Center c ( t ) = x ( t ) + ρ ( t ) n ( t ) Osculating circle lies in the osculating plane – Spanned by t and n Farin & Hansford The Essentials of CAGD 10 / 29

  11. Curvature and Torsion Example: κ (0) = 2 κ (1) = 0 and 3 Agrees nicely with intuitive notion of “curvedness” Center of the osculating circle at t = 0: � 3 / 2 � c (0) = 0 c (0) undefined since ρ = 1 / 0 Farin & Hansford The Essentials of CAGD 11 / 29

  12. Curvature and Torsion For the special case of B´ ezier curves κ (0) = 2 n − 1 area [ b 0 , b 1 , b 2 ] � b 1 − b 0 � 3 n κ (0) = 0 if b 0 , b 1 , b 2 are collinear κ (1) = 2 n − 1 area [ b n − 2 , b n − 1 , b n ] � b n − b n − 1 � 3 n Curvature at parameter values other than 0 or 1 ⇒ Subdivide at the desired parameter value and proceed as above Farin & Hansford The Essentials of CAGD 12 / 29

  13. Curvature and Torsion By definition a 3D curve has nonnegative curvature For 2D curves: may assign a sign to curvature � � κ ( t ) = det x ( t ) ˙ ¨ x ( t ) x ( t ) � 3 � ˙ Signed curvature ⇒ inflection points – Where the curvature changes sign – For B´ ezier curves: area [ b 0 , b 1 , b 2 ] can be assigned a sign in 2D – Sign does not actually belong to the curvature Indication of change in relation to the right-hand rule Farin & Hansford The Essentials of CAGD 13 / 29

  14. Curvature and Torsion Example:   1 1 1 area [ b 0 , b 1 , b 2 ] = 1  = − 1 2 det 0 0 1  2 0 1 1 � b 1 − b 0 � = 1 κ (0) = 2 · 2 3 · − 1 2 = − 2 3   1 1 1 κ (1) = 4 1  = 2 2 det 0 1 1  3 3 1 1 2 Curvature is continuous along cubic polynomial ⇒ Curvature zero somewhere Farin & Hansford The Essentials of CAGD 14 / 29

  15. Curvature and Torsion max: 0.002 max: 0.000 min: -0.038 min: -0.035 The curvature of a curve is the most significant descriptor of its shape Most commercial systems allow a user to check the shape of a curve by displaying its curvature plot – The graph of κ ( t ) Farin & Hansford The Essentials of CAGD 15 / 29

  16. Curvature and Torsion The torsion τ measures the change in a curve’s binormal vector τ ( t ) = det [ ˙ x , ¨ x , x ˙˙˙ ] x � 2 � ˙ x ∧ ¨ The binormal of a planar curve is constant ⇒ a quadratic curve has zero torsion For B´ ezier curves: τ (0) = 3 n − 2 volume [ b 0 , b 1 , b 2 , b 3 ] area [ b 0 , b 1 , b 2 ] 2 2 n Farin & Hansford The Essentials of CAGD 16 / 29

  17. Surface Curvatures Point on surface: x ( u , v ) Normal: n ( u , v ) Plane P through x containing n intersects the surface in a planar curve ⇒ a normal section of x Compute signed curvature of normal section at x – Called normal curvature κ P Farin & Hansford The Essentials of CAGD 17 / 29

  18. Surface Curvatures Rotate P around n For each new position of P ⇒ New normal section ⇒ New normal curvature κ max : largest normal curvature κ min : smallest ⇒ Principal curvatures at x If κ min and κ max both positive or both negative ⇒ x called an elliptic point (Sphere and ellipsoid: all points elliptic) Sketch shows center of each osculating circle Farin & Hansford The Essentials of CAGD 18 / 29

  19. Surface Curvatures κ min and κ max are of opposite sign ⇒ x called a hyperbolic point Also called saddle point All points on hyperboloids and bilinear patches are hyperbolic Best “real life” example of surfaces with hyperbolic points: potato chips Farin & Hansford The Essentials of CAGD 19 / 29

  20. Surface Curvatures κ min or κ max is zero x is called a parabolic point Examples: cylinders or cones Farin & Hansford The Essentials of CAGD 20 / 29

  21. Surface Curvatures Three cases succinctly described by K = κ min κ max Called Gaussian curvature Elliptic point: K > 0 1 Hyperbolic point: K < 0 2 Parabolic point: K = 0 3 Most surfaces are not composed entirely of one type of Gaussian curvature Developable surfaces: surfaces with K = 0 everywhere Farin & Hansford The Essentials of CAGD 21 / 29

  22. Surface Curvatures Computing Gaussian curvature: � x u x u � x u x v F = det First fundamental form x u x v x v x v � nx u , u � nx u , v S = det Second fundamental form nx u , v nx v , v K = S F Farin & Hansford The Essentials of CAGD 22 / 29

  23. Surface Curvatures Gaussian curvature doesn’t say everything about shape Sketch: intuitively quite curved yet κ min = 0 everywhere Farin & Hansford The Essentials of CAGD 23 / 29

  24. Surface Curvatures More shape measures: Mean curvature M = 1 2[ κ min + κ max ] Computed as M = [ nx vv ] x 2 u − 2[ nx uv ][ x u x v ] + [ nx uu ] x 2 v F Minimal surfaces: mean curvature zero – Such surfaces resemble the shape of soap bubbles Absolute curvature A = | κ min | + | κ max | Measures the curvature of a surface in the most reliable way from an intuitive viewpoint Farin & Hansford The Essentials of CAGD 24 / 29

  25. Surface Curvatures RMS (root mean square) curvature � � 4 M 2 − 2 K κ 2 min + κ 2 R = max = R = Left: a digitized vessel Right: RMS curvatures of a B-spline approximation Farin & Hansford The Essentials of CAGD 25 / 29

  26. Reflection Lines Surface curvatures – Gaussian, Mean, Absolute, RMS Not necessarily intuitive to designers trying to create “beautiful” shapes A different surface tool is used more often Based on the simulation of an automotive design studio – Car prototype built – Placed in studio with ceiling filled with parallel fluorescent light bulbs – Bulb reflections in car’s surface – Give designers crucial feedback on the quality of product – “Flowing” reflection patterns are good, “wiggly” ones are bad These light patterns can be simulated before a prototype is built – Saves money: building prototype is expensive Farin & Hansford The Essentials of CAGD 26 / 29

  27. Reflection Lines Highlight areas on surface where reflections will occur Simple model: For any point x – Compute its normal n – Let L denote a line light source – If α between n and L is small normal points to light source L ⇒ Region of the surface highlighted Farin & Hansford The Essentials of CAGD 27 / 29

  28. Reflection Lines Compute α : Find the point ˆ x on L closest to x L defined by point p and vector v x = p + v [ x − p ] ˆ v � v � 2 α given by the angle between n and ˆ x − x Isophote: Curve on surface determined by the light line L Farin & Hansford The Essentials of CAGD 28 / 29

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