High-Quality Simplification with Generalized Pair Contractions Pavel Borodin,* Stefan Gumhold, # Michael Guthe,* Reinhard Klein* *University of Bonn, Germany.

Slides:



Advertisements
Similar presentations
 Over-all: Very good idea to use more than one source. Good motivation (use of graphics). Good use of simplified, loosely defined -- but intuitive --
Advertisements

Surface Simplification using Quadric Error Metrics Guowei Wu.
Surface Simplification Using Quadric Error Metrics Speaker: Fengwei Zhang September
Efficient access to TIN Regular square grid TIN Efficient access to TIN Let q := (x, y) be a point. We want to estimate an elevation at a point q: 1. should.
Developer’s Survey of Polygonal Simplification Algorithms Based on David Luebke’s IEEE CG&A survey paper.
Real-Time Rendering POLYGONAL TECHNIQUES Lecture 05 Marina Gavrilova.
Inter-Surface Mapping John Schreiner, Arul Asirvatham, Emil Praun (University of Utah) Hugues Hoppe (Microsoft Research)
A Fast Algorithm for Incremental Distance Calculation Paper by Ming C. Ling and John F. Canny Presented by Denise Jones.
Robust Repair of Polygonal Models Tao Ju Rice University.
5/1/2000Deepak Bandyopadhyay / UNC Chapel Hill 1 Extended Quadric Error Functions for Surface Simplification Deepak Bandyopadhyay COMP 258 F2000 Project.
New quadric metric for simplifying meshes with appearance attributes Hugues Hoppe Microsoft Research IEEE Visualization 1999 Hugues Hoppe Microsoft Research.
Stefan Gumhold,* Pavel Borodin, # Reinhard Klein # *University of Tuebingen, Germany # University of Bonn, Germany Intersection Free Simplification.
CS CS 175 – Week 4 Mesh Decimation General Framework, Progressive Meshes.
Haptic Rendering using Simplification Comp259 Sung-Eui Yoon.
Mesh Simplification Global and Local Methods:
Filling Arbitrary Holes in Finite Element Models 17 th International Meshing Roundtable 2008 Schilling, Bidmon, Sommer, and Ertl.
Tetra-Cubes: An algorithm to generate 3D isosurfaces based upon tetrahedra BERNARDO PIQUET CARNEIRO CLAUDIO T. SILVA ARIE E. KAUFMAN Department of Computer.
Shape Modeling International 2007 – University of Utah, School of Computing Robust Smooth Feature Extraction from Point Clouds Joel Daniels ¹ Linh Ha ¹.
Visibility-Guided Simplification Eugene Zhang and Greg Turk GVU Center, College of Computing Georgia Institute of Technology.
Visualization and graphics research group CIPIC January 30, 2003Multiresolution (ECS 289L) - Winter MAPS – Multiresolution Adaptive Parameterization.
Vieira et al. - Fast Stellar Mesh Simplification 1 Fast Stellar Mesh Simplification Antônio W. Vieira 1,2 Luiz Velho 3 Hélio Lopes 1 Geovan Tavares 1 Thomas.
CS CS 175 – Week 5 Mesh Decimation Fairness Criteria.
Visualization and graphics research group CIPIC Feb 18, 2003Multiresolution (ECS 289L) - Winter Progressive Meshes (SIGGRAPH ’96) By Hugues Hoppe.
Visualization 2000 Tutorial Mesh-Based Methods for Multiresolution Representations Instructor: Ken Joy Center for Image Processing and Integrated Computing.
Advanced Computer Graphics (Spring 2006) COMS 4162, Lecture 11: Quadric Error Metrics Ravi Ramamoorthi Some material.
Visualization and graphics research group CIPIC January 21, 2003Multiresolution (ECS 289L) - Winter Surface Simplification Using Quadric Error Metrics.
ECS 289L A Survey of Mesh-Based Multiresolution Representations Ken Joy Center for Image Processing and Integrated Computing Computer Science Department.
Advanced Computer Graphics (Spring 2005) COMS 4162, Lecture 10: Mesh simplification Ravi Ramamoorthi Many slides courtesy.
Visualization and graphics research group CIPIC February 13, 2003ECS289L – Multiresolution Methods – Winter Illumination Dependent Refinement of.
CSE554SimplificationSlide 1 CSE 554 Lecture 7: Simplification Fall 2014.
Compressing Multiresolution Triangle Meshes Emanuele Danovaro, Leila De Floriani, Paola Magillo, Enrico Puppo Department of Computer and Information Sciences.
Surface Simplification Using Quadric Error Metrics Michael Garland Paul S. Heckbert.
A D V A N C E D C O M P U T E R G R A P H I C S CMSC 635 January 15, 2013 Quadric Error Metrics 1/20 Quadric Error Metrics.
Dynamic Meshing Using Adaptively Sampled Distance Fields
Algorithms for Triangulations of a 3D Point Set Géza Kós Computer and Automation Research Institute Hungarian Academy of Sciences Budapest, Kende u
Presented By Greg Gire Advised By Zoë Wood California Polytechnic State University.
10/02/2001CS 638, Fall 2001 Today Level of Detail Overview Decimation Algorithms LOD Switching.
Progressive Meshes with Controlled Topology Modification University of Bonn Institute II. for Computer Science Computer Graphics Group Pavcl Borodin Rchinhard.
A lightweight approach to repairing digitized polygon meshes Marco Attene IMATI-GE / CNR 2010 Presented by Naitsat Alexander.
DPL10/16/2015 CS 551/651: Simplification Continued David Luebke
1 Dr. Scott Schaefer Surface Simplification. 2/32 Surface Simplification Given a closed polygon model, reduce the number of polygons and maintain appearance.
Surface Simplification Using Quadric Error Metrics Garland & Heckbert Siggraph 97.
Triangular Mesh Decimation
Scalable, High-Quality Mesh Simplification Michael Garland Eric Shaffer University of Illinois at Urbana–Champaign Michael Garland Eric Shaffer University.
CSE554SimplificationSlide 1 CSE 554 Lecture 7: Simplification Fall 2013.
Polygonal Simplification Techniques
Mesh Coarsening zhenyu shu Mesh Coarsening Large meshes are commonly used in numerous application area Modern range scanning devices are used.
1 Polygonal Techniques 이영건. 2 Introduction This chapter –Discuss a variety of problems that are encountered within polygonal data sets The.
Advanced Computer Graphics CSE 190 [Spring 2015], Lecture 8 Ravi Ramamoorthi
CS418 Computer Graphics John C. Hart
Advanced Computer Graphics CSE 190 [Spring 2015], Lecture 7 Ravi Ramamoorthi
Surface Simplification Using Quadric Error Metrics Michael Garland Paul S. Heckbert August 1997 Michael Garland Paul S. Heckbert August 1997.
Advanced Computer Graphics CSE 190 [Spring 2015], Lecture 9 Ravi Ramamoorthi
Solid Modeling 2002 A Multi-resolution Topological Representation for Non-manifold Meshes Leila De Floriani, Paola Magillo, Enrico Puppo, Davide Sobrero.
ALGORITHMS FOR POLYGON REDUCTION Author: Ing. Roman Schulz FIT VUT, 2008.
Level of Detail: Generating LODs David Luebke University of Virginia.
Mesh Resampling Wolfgang Knoll, Reinhard Russ, Cornelia Hasil 1 Institute of Computer Graphics and Algorithms Vienna University of Technology.
Rendering Large Models (in real time)
1 Overview (Part 1) Background notions A reference framework for multiresolution meshes Classification of multiresolution meshes An introduction to LOD.
DPL3/10/2016 CS 551/651: Simplification Continued David Luebke
Advanced Computer Graphics (Spring 2013) Mesh representation, overview of mesh simplification Many slides courtesy Szymon Rusinkiewicz.
Decimation of Triangle Meshes Paper by W.J.Schroeder et.al Presented by Guangfeng Ji.
A Multiphase Approach to Efficient Surface Simplification Michael Garland Eric Shaffer University of Illinois at Urbana–Champaign Michael Garland Eric.
Advanced Computer Graphics
Decimation Of Triangle Meshes
CS Computer Graphics II
User-Guided Simplification
CS475 3D Game Development Level Of Detail Nodes (LOD)
Semi-Automated Cleanup Tools
Chap 10. Geometric Level of Detail
Presentation transcript:

High-Quality Simplification with Generalized Pair Contractions Pavel Borodin,* Stefan Gumhold, # Michael Guthe,* Reinhard Klein* *University of Bonn, Germany # University of Tuebingen, Germany

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 2 Outline  Introduction  Related Work  Generalized Pair Contractions  Spatial Search Data Structure  Simplification Algorithm  Applications and Results  Conclusion

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 3 Introduction  Polygon models are widely used  Permanent growth of model complexity  Reduction is often necessary  Many mesh simplification algorithms Original model (34834 vertices) Simplified model (3483 vertices) More simplification (1000 vertices)

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 4 Introduction  Many models don't have consistent connectivity  T-vertices  self- intersections  gaps and small holes  close, but not connected surface parts

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 5 Introduction  Problem: vertex pair contractions not always sew together geometrically close but not incident surface parts  Unnecessarily large complexity of simplified models / unnecessarily large errors  Need of more general operations ?

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 6 Introduction  Problem: quadric error metric does not preserve sharp features Simplified 200 vertices Original 1972 vertices Qf1Qf1Qf1Qf1 Qf2Qf2Qf2Qf2 e Q e = Q f 1 + Q f 2

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 7  Edge collapse simplification [Hoppe 1996]  contracts two adjacent vertices  performs no topology alteration Related Work v new v2v2v2v2 v1v1v1v1

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 8  Vertex pair contraction simplification [Popovic and Hoppe / Garland and Heckbert 1997]  the contracted vertices do not necessarily lie on a common edge  allows topology modifications  sews together unconnected parts and closes small gaps Related Work v new v1v1v1v1 v2v2v2v2

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 9  Vertex-edge contractions on boundaries [Borodin et al Progressive Gap Closing]  generalizes vertex pair contraction  contracts boundary vertex with boundary edge  improves the sewing potential of vertex pair contraction Related Work v new v v int v e

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 10 Generalized Pair Contractions  Three new operations:  vertex-edge contraction  vertex-triangle contraction  edge-edge contraction  Sufficient to connect the closest points of two objects or parts of an object  Perform no reduction, but increase the connectedness of the model

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 11 Generalized Pair Contractions  Vertex-edge contraction  project the vertex onto the corresponding edge  insert an intermediate vertex at the projection point (split the edge and all triangles incident to it)  contract intermediate and contraction vertices

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 12  Vertex-triangle contraction  project the vertex onto the corresponding triangle  insert an intermediate vertex at the projection point (split the triangle)  contract intermediate and contraction vertices Generalized Pair Contractions

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 13 Generalized Pair Contractions  Edge-edge contraction  find the closest points on the corresponding edges  insert two intermediate vertices at these points (split both edges and all triangles incident to them)  contract two intermediate vertices

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 14 Generalized Pair Contractions  Ordering of operations  Quadric error metric [Garland & Heckbert 1997]  Problem: no control of the real geometric error  Problem: error accumulation at flat regions with noise v0v0v0v0 v1v1v1v1 v4v4v4v4 v5v5v5v5 v8v8v8v8 v9v9v9v9 v2v2v2v2 v3v3v3v3 v6v6v6v6 v7v7v7v7 v0v0v0v0 v1v1v1v1 v4v4v4v4 v5v5v5v5 v8v8v8v8 v9v9v9v9 v 10 v 11 Q 10 = Q 2 + Q 3 Q 11 = Q 6 + Q 7 Q 12 = Q 1 + Q 10 Q 13 = Q 5 + Q 11 Q 14 = Q 12 + Q 4 = = Q 1 + Q 2 + Q 3 + Q 4 = Q 1 + Q 2 + Q 3 + Q 4 Q 15 = Q 13 + Q 8 = = Q 5 + Q 6 + Q 7 + Q 8 = Q 5 + Q 6 + Q 7 + Q 8 v0v0v0v0 v9v9v9v9 v 14 v 15 v0v0v0v0 v4v4v4v4 v8v8v8v8 v9v9v9v9 v 12 v 13

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 15 Generalized Pair Contractions  Ordering of operations  Non-accumulating error quadrics  Preprocessing phase: calculate initial error quadrics for all vertices  Intermediate vertex created: calculate its quadric from the incident triangles  Contraction operation performed: calculate quadric of a new vertex, recalculate quadrics of all adjacent vertices

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 16 Generalized Pair Contractions  Ordering of operations  Error test before the operation:  calculate the local one-sided Hausdorff distance after the operation from the original to the simplified mesh  if this error exceeds the predefined threshold d max, the operation is rejected  Guarantees maximum geometric distance between original and simplified model

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 17 Generalized Pair Contractions  Ordering of operations  Approximation of the Hausdorff distance is used to order the possible operations:  - accumulated errors of simplices s 1 and s 2  - local one-sided Hausdorff distance before the operation  - quadric error of the operation  - approximation of the distance between meshes before and after the operation

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 18 Generalized Pair Contractions  Handling of sharp features  Feature edges and feature vertices: all incident faces are inside chosen small angle  max  For each feature:  generate average plane P a of all incident faces  generate constraint plane P c running through the feature and perpendicular to P a  add the quadric of P c to the quadrics of appropriate vertices   <  max  PaPaPaPa  PaPaPaPa PcPcPcPc

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 19 Generalized Pair Contractions  Handling of sharp features 200 vertices, features not preserved 200 vertices, features preserved Original with detected features

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 20 Spatial Search Data Structure  Queries:  for given vertex find closest non- incident simplex  for given edge find closest non- incident edge  need of spatial search data structure  During simplification simplices are eliminated and created  support of fast dynamic updates  Regular grid  average edge length as cell side length

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 21 Simplification Algorithm  Preprocessing:  Initialization of the grid  Identification of corresponding pairs  For each vertex the corresponding simplex (vertex, edge or triangle) is found  For some edges the corresponding edge is found  The references to the found simplices are stored  Pairs are inserted into the priority queue according to their errors

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 22 Simplification Algorithm  Decimation loop  Pop next operation from the priority queue  Before the operation:  normal test  minimal angle test  error test  collision test  After the operation:  update the grid  update all affected simplex pairs  update the priority queue

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 23 Applications and Results  Controlled topology modifying simplification and mesh repair Original model with 4288 vertices Model courtesy of DaimlerChrysler AG

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 24 Applications and Results  Controlled topology modifying simplification and mesh repair 500 vertices vertex pair contractions 500 vertices generalized pair contractions

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 25 Applications and Results  Controlled topology modifying simplification and mesh repair 125 vertices vertex pair contractions 125 vertices generalized pair contractions

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 26 Applications and Results 4467 vertices original 250 vertices gener. pair contractions 250 vertices vertex pair contractions

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 27 Applications and Results  Out-of-core simplification  Cutting the model into subparts and simplifying each subpart independently  Gaps are automatically closed when subparts are simplified together Vertex pair contractions Generalized pair contractions

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 28 Applications and Results Original faces OEMM-QEM faces Stream decimation faces Our method faces

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 29 Applications and Results  Out-of-core simplification Original faces OEMM-QEM faces error = 0.82% Stream decimation faces error = 0.82% Our method faces error = 0.26%

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 30 Applications and Results  Out-of-core simplification  Error quadrics are not accumulated  better simplification of flat regions with noise OEMM-QEM faces error = 0.82% Stream decimation faces error = 0.82% Our method faces error = 0.26%

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 31 Conclusion  A strategy to generate high quality approximations for models with arbitrary topology  Generalized pair contraction operations introduced  Allow to remove gaps and holes and integrate the automatic connection of close surface parts  Guaranteed maximum geometric distance between original and simplified model  Simplification controlled by a geometric error

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 32 Future Work (already done)  Intersection free simplification  Out-of-core simplification  View-dependent out-of-core visualization

P. Borodin, S. Gumhold, M. Guthe, R. Klein - High-Quality Simplification with Generalized Pair Contractions University of Bonn  Computer Graphics Group 33 Thank you