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9783540436393

Tutorials on Multiresolution in Geometric Modelling

by ; ;
  • ISBN13:

    9783540436393

  • ISBN10:

    3540436391

  • Format: Hardcover
  • Copyright: 2002-06-01
  • Publisher: Springer-Verlag New York Inc

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Summary

Multiresolution methods in geometric modelling are concerned with the generation, representation, and manipulation of geometric objects at several levels of detail. Applications include fast visualization and rendering as well as coding, compression and digital transmission of 3D geometric objects.This book is based on thirteen tutorials presented during the European Summer School "Principles of Multiresolution in Geometric Modelling", held at the Munich University of Technology, Germany, during August 22-30, 2001. The book covers: subdivision; wavelets; scattered data modelling; and coding and data structures.The tutorials are designed to be introductory in character, and include supporting exercises. Other supplementary material and software can be downloaded from the Web Site www.ma.tum.de/primus 2001/.

Table of Contents

Part I. Subdivision
Subdivision of Box-Splines
3(22)
Malcolm Sabin
B-Splines
4(4)
Univariate Box-Splines
8(4)
Bivariate Box-Splines
12(5)
Freedom of Topology
17(4)
Programming Subdivision Schemes
21(1)
Bibliographic Notes
22(3)
References
22(3)
Interpolatory Subdivision Schemes
25(26)
Nira Dyn
The Univariate Stationary Case
25(10)
Non-Stationary Univariate Interpolatory Schemes, Exact for Exponentials
35(2)
Tensor-Product Interpolatory Schemes for Surfaces
37(2)
The Butterfly Scheme - An Interpolatory Subdivision Scheme on Triangulations
39(4)
Bibliographic Notes
43(8)
References
43(2)
Appendix: Solutions of Selected Exercises
45(6)
Analysis of Convergence and Smoothness by the Formalism of Laurent Polynomials
51(18)
Nira Dyn
Introduction
51(1)
Analysis of Univariate Schemes
52(6)
Analysis of Bivariate Schemes with Factorizable Symbols
58(5)
Bibliographic Notes
63(6)
References
64(1)
Appendix: Solutions of Selected Exercises
65(4)
Eigenanalysis and Artifacts of Subdivision Curves and Surfaces
69(24)
Malcolm Sabin
Analysis of Curves
69(10)
Analysis of Subdivision Surfaces
79(10)
Bibliographic Notes
89(4)
References
90(3)
Nonlinear Subdivision Schemes: Applications to Image Processing
93(8)
Albert Cohen
Basarab Matei
Extended Abstract
93(4)
References
97(4)
Part II. Wavelets
Nonuniform B-Splines and B-Wavelets
101(46)
Ewald Quak
Introduction
101(1)
B-Splines on Nonuniform Knot Sequences
102(10)
Refinement of B-Splines
112(8)
A Nonuniform Spline Multiresolution Analysis
120(5)
An Example: Multiresolution Analysis based on Piecewise Linear Splines
125(17)
Nonuniform B-Wavelets
142(5)
References
145(2)
BLaC Wavelets and Non-Nested Wavelets
147(18)
Georges-Pierre Bonneau
Introduction
147(1)
Multiresolution Analysis with Non-Nested Approximating Spaces
147(4)
BLaC Wavelets
151(6)
Multiresolution Analysis on Hierarchical Triangulations
157(8)
References
162(3)
Multiresolution on the Sphere
165(40)
Matthias Conrad
Jurgen Prestin
Introduction
165(1)
Preliminaries
166(7)
Spherical Harmonics
173(18)
Spherical Basis Functions
191(14)
References
200(5)
Part III. Scattered Data Modelling
Scattered Data Modelling Using Radial Basis Functions
205(38)
Armin Iske
Introduction
205(2)
Interpolation
207(3)
Optimal Recovery
210(3)
Pointwise Optimality
213(3)
Uncertainty Principle
216(3)
Optimal Point Sampling
219(5)
Least Squares Approximation
224(3)
Multilevel Approximation Schemes
227(1)
Scattered Data Filtering
228(15)
References
233(3)
Appendix: Exercises
236(7)
Scattered Data Fitting with Bivariate Splines
243(44)
Frank Zeilfelder
Introduction
243(3)
Splines
246(5)
Bernstein-Bezier Techniques
251(4)
Dimension of Bivariate Spline Spaces
255(4)
Interpolation Methods for Bivariate Splines
259(11)
A Direct Approximation Method for Bivariate Splines
270(17)
References
276(8)
Appendix: Exercises
284(3)
Parameterization of Triangulations and Unorganized Points
287(32)
Michael Floater
Kai Hormann
Introduction
287(1)
Parameterization of Simple Triangulations
288(3)
Parameterization by Linear Methods
291(2)
Choosing the Weights
293(3)
Parameterization by Weighted Least Squares
296(2)
Parameterization by Non-Linear Methods
298(7)
Remeshing, Subdivision Connectivity, and Multiresolution
305(3)
Parameterization of Unorganized Points
308(3)
Parameterization of Manifold Triangulations
311(8)
References
314(5)
Part IV. Coding and Data Structures
Simplification and Compression of 3D Meshes
319(44)
Craig Gotsman
Stefan Gumhold
Leif Kobbelt
Introduction
319(4)
Mesh Decimation Techniques
323(11)
Connectivity Coding
334(12)
Compression of Geometric Data
346(17)
References
356(4)
Appendix: Exercises
360(3)
Multiresolution Mesh Representation: Models and Data Structures
363(56)
Leila De Floriani
Paola Magillo
Introduction
363(2)
Background Notions
365(4)
A Reference Framework for Multiresolution Meshes
369(6)
Classification of Multiresolution Meshes
375(12)
Level-Of-Detail (LOD) Queries on a Multiresolution Mesh
387(4)
General-Purpose Data Structures for Multiresolution Meshes
391(3)
Data Structures for Nested Models
394(3)
Data Structures for Non-Nested Models
397(13)
Concluding Remarks
410(9)
References
411(6)
Appendix: Exercises
417(2)
Index 419

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