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Advances in Multiresolution for Geometric Modelling

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Cover of 'Advances in Multiresolution for Geometric Modelling'

Table of Contents

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    Book Overview
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    Chapter 1 Recent Advances in Compression of 3D Meshes
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    Chapter 2 Shape Compression using Spherical Geometry Images
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    Chapter 3 A Survey on Data Structures for Level-of-Detail Models
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    Chapter 4 An Algorithm for Decomposing Multi-dimensional Non-manifold Objects into Nearly Manifold Components
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    Chapter 5 Encoding Level-of-Detail Tetrahedral Meshes
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    Chapter 6 Multi-Scale Geographic Maps
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    Chapter 7 Constrained Multiresolution Geometric Modelling
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    Chapter 8 Multi-scale and Adaptive CS-RBFs for Shape Reconstruction from Clouds of Points
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    Chapter 9 Surface Parameterization: a Tutorial and Survey
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    Chapter 10 Variations on Angle Based Flattening
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    Chapter 11 Recent Progress in Subdivision: a Survey
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    Chapter 12 Optimising 3D Triangulations: Improving the Initial Triangulation for the Butterfly Subdivision Scheme
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    Chapter 13 Simple Computation of the Eigencomponents of a Subdivision Matrix in the Fourier Domain
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    Chapter 14 Advances in Multiresolution for Geometric Modelling
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    Chapter 15 Advances in Multiresolution for Geometric Modelling
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    Chapter 16 $$\sqrt 5 $$ -subdivision
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    Chapter 17 Geometrically Controlled 4-Point Interpolatory Schemes
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    Chapter 18 Adaptive Thinning for Terrain Modelling and Image Compression
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    Chapter 19 Simplification of Topologically Complex Assemblies
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    Chapter 20 Topology Preserving Thinning of Vector Fields on Triangular Meshes
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    Chapter 21 Periodic and Spline Multiresolution Analysis and the Lifting Scheme
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    Chapter 22 Nonstationary Sibling Wavelet Frames on Bounded Intervals: the Duality Relation
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    Chapter 23 Haar Wavelets on Spherical Triangulations
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Title
Advances in Multiresolution for Geometric Modelling
Published by
Springer Science & Business Media, September 2004
DOI 10.1007/b138117
ISBNs
978-3-54-021462-5, 978-3-54-026808-6
Editors

Dodgson, Neil A., Floater, Michael S., Sabin, Malcolm A.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 3%
Student > Postgraduate 1 3%
Unknown 31 94%
Readers by discipline Count As %
Mathematics 1 3%
Computer Science 1 3%
Unknown 31 94%