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Shape Reconstruction From Planar Cross Sections CAI Hongjie | May 28, 2008.

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Presentation on theme: "Shape Reconstruction From Planar Cross Sections CAI Hongjie | May 28, 2008."— Presentation transcript:

1 Shape Reconstruction From Planar Cross Sections CAI Hongjie | May 28, 2008

2 Motivation S. Hahmann, et al. CAGD 2000, GMP 2008

3 Reconstruction From Cross Sections Triangulated tiling

4 Reconstruction From Cross Sections Smooth skinning

5 Papers List T.W. Sederberg, K.S. Klimaszewski, et al Triangulation of Branching Contours using Area Minimization,1997 Jean-Daniel Boissonnat Shape Reconstruction From Planar Cross-Sections, 1988 L.G. Nonato, A.J. Cuadros-Vargas, et al Beta-Connection: Generating a Family of Models from Planar Cross Sections, 2005 N.C. Gabrielides, A.I. Ginnis, et al G 1 -Smooth Branching Surface Construction From Cross Sections, 2007

6 Triangulation of Branching Contours using Area Minimization T.W. Sederberg, K.S. Klimaszewski Mu Hong, Kazufumi Kaneda International Journal of Computational Geometry & Applications, 1997

7 Thomas W. Sederberg Main Post Professor of Computer Science, Brigham Young University Research Interests Computer aided geometric design Computer graphics Image morphing Publications SIGGRAPH 11; CAGD 26; CAD 6; …

8 Ambiguous Triangulation

9 Previous Works Graph representation Some heuristics Volume maximized (E. Keppel, 1975) Faces area minimized (H. Fuchs et al, 1977)

10 Branching and Link-Edge

11 Bad Case and Remedy

12 Polygonal Bridge & Area Minimization

13 More Results

14 Shape Reconstruction From Planar Cross-Sections Jean-Daneil Boissonat INRIA Computer Vision, Graphics, and Image Processing, 1988

15 Jean-Daneil Boissonat Main Posts Research Director at INRIA Sophia-Antipolis Head of the Geometrica projectGeometrica Chair of the Evaluation Board of INRIAEvaluation Board Research Interests Discrete and Computational Geometry Voronoi diagrams & Delaunay triangulation Surface reconstruction

16 3D Delaunay Triangulation A B C D F E a b c

17 Computing 3D Delaunay Triangulation

18 Subdivision of Contours

19 Result

20 Beta-Connection: Generating a Family of Models from Planar Cross Sections L.G. Nonato, A.J. Cuadros-Vargas R. Minghim, M.C. F.DE Oliveira ACM Transactions on Graphics, 2005

21 Different Correspondence

22 β -Connection

23 Tetrahedron Types Internal tetrahedron External tetrahedron Redundant tetrahedron Reverse tetrahedron

24 Graph Representation Graph G from Delaunay triangulation Sphere node: region Cylinder node: redundant tetrahedron Cone node: external tetrahedron

25 β -Components Definition 1: a, b region nodes in G, d G ( a,b ) is the length of the shortest path connecting a and b. Definition 2:,region nodes a and b are said to be β -connected, denoted, if G, where,such that d G ( σ i, σ i+1 ) ≤ β, i=1,…,k-1. Lemma 1: is an equivalence relation. Definition 3: β -components are defined by the equivalence class generated by.

26 Algorithm 3D Delaunay triangulation Create graph representation and determine β -components Remove cylinder and cone nodes connecting different β -components For each β -component, tackle with the singularity

27 Examples

28 More Example

29 G 1 -Smooth Branching Surface Construction From Cross Sections N.C Gabrielides, A.I. Ginnis, P.D. Kaklis, M.I. Karavelas Computer-Aided Design, 2007

30 Menelaos Karavelas Curriculum Vitae Ph.D. at Stanford UniversityStanford University Post-doc at INRIA Sophia-AntipolisINRIA Sophia-Antipolis Assistant professor at the Department of Applied Mathematics of the University of CreteDepartment of Applied MathematicsUniversity of Crete Research Interests Voronoi diagrams and Delaunay triangulations Shape-preserving interpolation Shape reconstruction

31 Transfinite Interpolation Surface Given parametric surface f ( u, v ), 0 ≤ u, v ≤ 1.Let u- and v- isoparametric boundaries be 0v,1v ; u0,u1. Then are transfinite interpolation surfaces. Coons, MIT Project MAC-TR-41,1967

32 Coons Bi-cubic Blending Surface Let boundaries hodograph of f ( u, v ) be 0v u,1v u ; u0 v,u1 v (0v u =∂ f ( u, v )/ ∂u| u=0 ), then Coons surface is where

33 Sketch of the Algorithm Step 1: tangent vector estimation Step 2: planar contours and tangent ribbons Step 3: surrounding surface Step 4: trimming Step 5: hole filling

34 Step 1: tangent vector estimation

35 Step 2: Planar Contours and Tangent Ribbons

36 Step 3: Surrounding Surface

37 Step 4: Trimming Trimming curve Y(t)=S X(t) Cross-tangent of trimming curve

38 Step 5: Hole Filling Selecting center point K xy coordinate centroid of M k z coordinate K z K K MkMk M k-1 M k+1

39 Step 5: Hole Filling Guide curves Gordon-Coons surface K MkMk M k-1 M k+1 GkGk G k+1 G k-1

40 The “many-to-many” Problem

41 The Separating Strip

42 Symmetric Data Set

43 Symmetric Construction

44 Non-Symmetric Case

45 Integral Construction

46 Open Set Case

47 The Bulbous Hull Example

48 Failure of the Algorithm

49 Improvement by Voronoi Diagram

50 Conclusions Ensuring G 1 continuity Preserving data symmetry Automatic solution is available Topological instability Failure for multiple-connected residuals

51 Thanks! Q&A


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