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Surface Reconstruction and Mesh Generation Nina Amenta University of California at Davis.

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Presentation on theme: "Surface Reconstruction and Mesh Generation Nina Amenta University of California at Davis."— Presentation transcript:

1 Surface Reconstruction and Mesh Generation Nina Amenta University of California at Davis

2 Singer/Songwriters Joni Mitchell

3 Singer/Songwriters and Funk Bands Joni Mitchell

4 Surface Reconstruction

5 Mesh Generation

6 Other secondary sources Jonathan Shewchuk lecture notes on mesh generation. Surface reconstruction survey by Cazals and Giesen. Chapter on meshing surfaces by Boissonnat, Cohen-Steiner, Mourrain, Rote, and Vegter.

7 Surface Reconstruction Input: Samples from object surface. Output: Polygonal model.

8 Laser Range Scanners Minolta; NextEngine Use triangulation on a stripe of laser light.

9 Structured Light Breuckmann white-light scanner. Projects patterns on object, correlates images seen by several cameras.

10 Other ways to get points Stereo/photogrammetry LiDAR Tend to be messier, CG methods not as appropriate.

11 Commercial Applications Reverse engineering, metrology Customization Delcam scanner and software

12 Academic Applications Levoy et al, Stanford Allen, Curless, Popovic, U Wash. Amenta/Delson, UC/CUNY

13 Mesh Generation Fill in object with well-shaped triangles or tetrahedra (or other elements). Goal: minimum angles bounded away from zero. aCute, Alper Ungor

14 Application heat, strain fluid flow Simulate physical properties on or around complex objects. Mike Hohmeyer Christof Garth, UCD

15 Finite Element/Volume Methods Numerically solve PDE for physical quantity over space, on triangle/tet mesh. Finite Element: Linearly interpolate vertex data over elements. Finite Volume: Edges represent fluxes across dual Voronoi faces.

16 Attack of the Computational Geometers Define problems Voronoi/Delaunay constructions Provably correct algorithms, constants, running times… Plenty of structural geometric theory

17 Alpha-shapes Edelsbrunner, Kirkpatrick, Seidel, 83 Union of balls -> restricted weighed Voronoi diagram -> weighted Delaunay faces (skeleton)

18 Alpha-shape reconstruction Edelsbrunner & Muecke, 94: 3D surface reconstruction

19 Difficulty Usually no ideal choice of radius.

20 Ball-pivoting Bernardini et al, IBM Fixed-radius ball “rolling” over points selects subset of alpha-shape.

21 Voronoi Diagram Approximates Medial Axis For dense surface samples in 2D, all Voronoi vertices lie near medial axis. Figure out which are inside and which are outside… Ogniewicz, 92

22 2D Medial Reconstruction Pink Voronoi edges approximate medial axis.

23 2D Curve Reconstruction Blue Delaunay edges reconstruct the curve, pink triangulate interior/exterior. Many algorithms, with proofs.

24 Sliver tetrahedra In 3D, some Voronoi vertices are not near medial axis …

25 Sliver tetrahedra …. even when samples are arbitrarily dense. Interior Voronoi balls

26 Poles Interior polar balls Subset of Voronoi vertices, the poles, approximate medial axis. Amenta & Bern, 98 “Crust” papers

27 Sampling Requirement  -sample: distance from any surface point to nearest sample is at most small constant  times distance to medial axis. Zero at sharp corners – uh-oh.

28 Sampling Requirement Intuition: dense sampling where curvature is high or near features.

29 Kinds of Results Assuming input sampling is dense enough, then output triangulation will be homeomorphic to, and close to, the original surface. Usually also demonstrate robustness by implementation.

30 Algorithms and Software Examine Delaunay triangles Amenta and Bern, Crust Amenta, Choi, Dey and Leekha, Cocone Dey & Goswami, (water)-Tight Cocone Dey & Giesen, undersampling errors Inside/Outside Boissonnat, sculpting Boissonnat and Cazals, Natural neighbor Amenta, Choi and Kolluri, Power crust Kolluri, Shewchuk, O’Brien, Spectral

31 Distance function Distance from nearest sample. Giesen and John, 01,02

32 Distance function flow Consdier uphill flow …. Idea: interior is part that flows to interior maxima.

33 Distance function Max and (some) saddle points. Compute flow combinatorially using Delaunay/Voronoi

34 Distance Functions are Pretty Stable Distance functions of similar (Hausdorff) sets are similar –Maxima lie near near-maxima (points with small generalized gradient)

35 Gradient Flow Algorithms Giesen and John Edelsbrunner Wrap….

36 Geomagic Founded by Herbert Edelsbrunner. Leading system on the market.

37 Other Companies Dessault – Catia – Andrei Liutier as “resident genius”, includes Nearest- neighbor reconstruction? Imageware, RapidForm, ScanTo3D. Bottom line - They all know we’re out here, but we are not integral to their business.

38 What’s really used in graphics… Poisson algorithm - Kazhdan, Bolitho, Hoppe ‘06. Define gradient at boundaries, solve PDE on octree to fill space, take level-set of implicit function.

39 “This CGAL component implements a state-of-the-art surface reconstruction method: Poisson Surface Reconstruction.”

40 Why? Noise Noisy data sources are increasingly important. Computing DT of whole point cloud is overkill. Persistence is really not the answer. Averaging in 3D is faster and better. Distance-like functions (Chazal talk)?

41 Why? Delaunay bottleneck 3D Delaunay triangulation O(n 2 ), O(n) in practice, but still slow. Attali, Boissonnat, Lieutier ‘03 O(n lg n) DT complxity Funke & Ramos, ‘02, Funke & Milosavljevic ‘07, O(n lg n) thinning and then reconstructing. Cheng, Jin, Lau, this conference. More practical O(n lg n).

42 For comparison… Delaunay of 1 million 3D points ~ 1 minute. GPU octree: 18 milliseconds GPU k-NN: answer 1 million 50-NN queries/second (based on Bern, Chan reduction to sorting) A., Li, Simons, Parkaravor, Abbasinejad, Owens

43 What to work on? Fast octree-based algorithms with proofs -> surface meshing algorithms. Prove results about what people already do in practice. Work on other problems related to building objects from data! Eg, alignment (= matching)

44 Medial axis approximation Dey & Zhao, 02 Amenta, Choi, Kolluri, 01 Attali & Montanvert, 97 Amenta & Kolluri, 01

45 Medial Axis Simplification Miklos, Giesen, Pauly, SIGGRAPH 2010 Look out for…Chambers, Letscher & Ju, 2D-soon-to-be-3D line-skeleton algorithm.

46 Mesh generation ….like I know….

47 Quad/Octree algorithms Bern, Eppstein, Gilbert ‘90 – first guaranteed quality mesh generator! Shewchuk notes

48 Delaunay refinement All triangle angles > k (here 25 o ). Forces grading from small to larger. Equivalent to upper bound on circumcircle/shortes t edge.

49 Delaunay refinement Insert circumcenters of badly-shaped triangles

50 Handling boundaries If circumcenter lies across a boundary edge, divide edge instead.

51 2D Meshing Software Triangle, Shewchuk. aCute, Ungor (advancing front). CGAL. Very widely used.

52 Surface meshing Adapt planar techniques to surfaces. Chew

53 Restricted Delaunay Triangulation Edelsbrunner and Shah, ‘96, showed closed-ball property: if every rVor cell is a disk, rVoD is homeomorphic to surface. 3D Voronoi diagram restricted to 2D surface. Delaunay is dual.

54 Kind of results Surface can be covered with well- shaped triangles, and the number of triangles is O(minimal). Requires the input surface boundary to have no sharp angle; otherwise algorithm may not terminate!

55 Delaunay refinement Smooth - Chew –Boissonnat and Oudot –Cheng, Dey, Ramos and Ray Piecewise-smooth –Rineau and Yvinec –Cheng, Dey and Ramos –Cheng, Dey and Levine (software!)

56 Edge Protection Place strings of barely- intersecting balls along edges; mesh faces by Delaunay refinement. Dey&Levine

57 Comment Local feature size is overkill for just surface meshing.

58 Volume meshing Shewchuk; alg generalizes Bajaj, Dey and Sugihara. Shewchuk notes

59 Sliver tetrahedra Are NOT eliminated by optimizing circumradius/shortest edge. This is OK for finite volume methods (Miller, Talmor, Teng and Walkington, STOC ’95, mesh a Poisson-disk point set). But not OK for finite element methods!

60 Sliver removal Sliver exudation, ‘00, Cheng, Dey, Edelsbrunner, Facello and Teng. Adjust weights of mesh vertices to squeeze out slivers. Dihedral guaranteed to be bounded away from zero. Randomized perturbation, Chew ‘97 and Li and Teng ‘01.

61 Isosurface Stuffing Octree-based method, Labelle and Shewchuk ‘07. Dihedral angles bounded between 10.7 o and 164.8 o Requires: smooth manifold boundary, uniform sizing on boundary. NOT DELAUNAY.

62 Free Tet Meshing Software Several algorithms implemented in CGAL - Stéphane Tayeb, Yvinec, L. Rineau, Alliez and Tournois. TetGen, Hang Si, Weierstrass Institute for Applied Analysis and Stochastics (WIAS) Some day…Pyramid, Shewchuk.

63 Industry/Government Ansys – Sells simulation capability, not meshes. Many CAD systems, eg. SolidWorks. Sandia organizes International Meshing Roundtable. This is very incomplete.

64 What to work on? …you’re asking me?... Stuff I didn’t talk about –Anisotropic meshing (Canas & Gortler, this conference) –Quad/hex meshing Digital differential geometry? Get out and meet people.

65 Conclusions Real problems, real science/industry, real impact. Theoretical structures and results, and software. Bridging the gap to practice is an ongoing challenge, not necessarily our top priority.

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