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<html><head><title>Wavelets for Computer Graphics: Contents</title></head><body bgcolor="#FFFFFF" text="#000000" link="#0000CC" vlink="#330066" alink="#FF0000"><center><b><font size=+3>W</font><font size=+1>AVELETS FOR</font><font size=+3>C</font><font size=+1>OMPUTER</font><font size=+3>G</font><font size=+1>RAPHICS</font><br><font size=+1>T</font><font size=-1>HEORY AND</font><font size=+1>A</font><font size=-1>PPLICATIONS</font></b><p><table border=0 cellpadding=10> <tr> <td align=center valign=top>Eric J. Stollnitz<br> <font size=-1>University of Washington<p></font></td> <td align=center valign=top>Tony D. DeRose<br> <font size=-1>Pixar Animation Studios<p></font></td> <td align=center valign=top>David H. Salesin<br> <font size=-1>University of Washington<p></font></td> </tr></table><hr width=200><p><b>Table of Contents</b><p></center><blockquote><dl> <dt> <b>Foreword</b> <dt> <b>Preface</b> <dt> <b>Notation</b> <dt> <b>1 Introduction</b> <dd> <font size=-1> 1.1 Multiresolution methods<br> 1.2 Historical perspective<br> 1.3 Overview of the book<p></font> <dt> <b><font size=+1>Part I: Images</font></b> <dt> <b>2 Haar: The simplest wavelet basis</b> <dd> <font size=-1> 2.1 The one-dimensional Haar wavelet transform<br> 2.2 One-dimensional Haar basis functions<br> 2.3 Orthogonality and normalization<br> 2.4 Wavelet compression</font> <dt> <b>3 Image compression</b> <dd> <font size=-1> 3.1 Two-dimensional Haar wavelet transforms<br> 3.2 Two-dimensional Haar basis functions<br> 3.3 Wavelet image compression<br> 3.4 Color images<br> 3.5 Summary</font> <dt> <b>4 Image editing</b> <dd> <font size=-1> 4.1 Multiresolution image data structures<br> 4.2 Image editing algorithm<br> 4.3 Boundary conditions<br> 4.4 Display and editing at fractional resolutions<br> 4.5 Image editing examples</font> <dt> <b>5 Image querying</b> <dd> <font size=-1> 5.1 Image querying by content<br> 5.2 Developing a metric for image querying<br> 5.3 Image querying algorithm<br> 5.4 Image querying examples<br> 5.5 Extensions<p></font> <dt> <b><font size=+1>Part II: Curves</font></b> <dt> <b>6 Subdivision curves</b> <dd> <font size=-1> 6.1 Uniform subdivision<br> 6.2 Non-uniform subdivision<br> 6.3 Evaluation masks<br> 6.4 Nested spaces and refinable scaling functions</font> <dt> <b>7 The theory of multiresolution analysis</b> <dd> <font size=-1> 7.1 Multiresolution analysis<br> 7.2 Orthogonal wavelets<br> 7.3 Semi-orthogonal wavelets<br> 7.4 Biorthogonal wavelets<br> 7.5 Summary</font> <dt> <b>8 Multiresolution curves</b> <dd> <font size=-1> 8.1 Related curve representations<br> 8.2 Smoothing a curve<br> 8.3 Editing a curve<br> 8.4 Scan conversion and curve compression</font> <dt> <b>9 Multiresolution tiling</b> <dd> <font size=-1> 9.1 Previous solutions to the tiling problem<br> 9.2 The multiresolution tiling algorithm<br> 9.3 Time complexity<br> 9.4 Tiling examples<p></font> <dt> <b><font size=+1>Part III: Surfaces</font></b> <dt> <b>10 Surface wavelets</b> <dd> <font size=-1> 10.1 Overview of multiresolution analysis for surfaces<br> 10.2 Subdivision surfaces<br> 10.3 Selecting an inner product<br> 10.4 A biorthogonal surface wavelet construction<br> 10.5 Multiresolution representations of surfaces</font> <dt> <b>11 Surface applications</b> <dd> <font size=-1> 11.1 Conversion to multiresolution form<br> 11.2 Surface compression<br> 11.3 Continuous level-of-detail control<br> 11.4 Progressive transmission<br> 11.5 Multiresolution editing<br> 11.6 Future directions for surface wavelets<p></font> <dt> <b><font size=+1>Part IV: Physical simulation</font></b> <dt> <b>12 Variational modeling</b> <dd> <font size=-1> 12.1 Setting up the objective function<br> 12.2 The finite-element method<br> 12.3 Using finite elements in variational modeling<br> 12.4 Variational modeling using wavelets<br> 12.5 Adaptive variational modeling</font> <dt> <b>13 Global illlumination</b> <dd> <font size=-1> 13.1 Radiosity<br> 13.2 Finite elements and radiosity<br> 13.3 Wavelet radiosity<br> 13.4 Enhancements to wavelet radiosity</font> <dt> <b>14 Further reading</b> <dd> <font size=-1> 14.1 Theory of multiresolution analysis<br> 14.2 Image applications<br> 14.3 Curve and surface applications<br> 14.4 Physical simulation<p></font> <dt> <b><font size=+1>Part V: Appendices</font></b> <dt> <b>A Linear algebra review</b> <dd> <font size=-1> A.1 Vector spaces<br> A.2 Bases and dimension<br> A.3 Inner products and orthogonality<br> A.4 Norms and normalization<br> A.5 Eigenvectors and eigenvalues</font> <dt> <b>B B-spline wavelet matrices</b> <dd> <font size=-1> B.1 Haar wavelets<br> B.2 Endpoint-interpolating linear B-spline wavelets<br> B.3 Endpoint-interpolating quadratic B-spline wavelets<br> B.4 Endpoint-interpolating cubic B-spline wavelets</font> <dt> <b>C Matlab code for B-spline wavelets<p></b> <dt> <b>Bibliography</b> <dt> <b>Index</b> <dt> <b>Color plates</b></dl></blockquote><hr><table width=100% cellpadding=0 cellspacing=0> <tr> <td align=left><font size=-1> <a href="mailto:stoll@amath.washington.edu"> <stoll@amath.washington.edu></a> </font></td> <td align=right><font size=-1><!-- hhmts start -->3:24 pm, 2 January 1997<!-- hhmts end --> </font></td> </tr></table></body></html>⌨️ 快捷键说明
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