Shum / Chan / Kang Image-Based Rendering

1. Auflage 2008
ISBN: 978-0-387-32668-9
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 408 Seiten

Focusing exclusively on Image-Based Rendering (IBR) this book examines the theory, practice, and applications associated with image-based rendering and modeling. Topics covered vary from IBR basic concepts and representations on the theory side to signal processing and data compression on the practical side. One of the only titles devoted exclusively to IBR this book is intended for researchers, professionals, and general readers interested in the topics of computer graphics, computer vision, image process, and video processing. With this book advanced-level students in EECS studying related disciplines will be able to seriously expand their knowledge about image-based rendering.

Autoren/Hrsg.

Shum, Heung-Yeung

Chan, Shing-Chow

Kang, Sing Bing

Inhaltsverzeichnis

1;Preface;7
2;Acknowledgments;8
3;Dedication;10
4;Contents;11
5;Introduction;19
5.1;1.1 Representations and Rendering;20
5.2;1.2 Sampling;21
5.3;1.3 Compression;21
5.4;1.4 Organization of book;22
6;Part I Representations and Rendering Techniques;24
6.1;Static Scene Representations;26
6.1.1;2.1 Rendering with no geometry;26
6.1.2;2.2 Rendering with implicit geometry;40
6.1.3;2.3 Representations with explicit geometry;48
6.1.4;2.4 Handling non-rigid effects;52
6.1.5;2.5 Which representation to choose?;58
6.1.6;2.6 Challenges;59
6.2;Rendering Dynamic Scenes;61
6.2.1;3.1 Video-based rendering;63
6.2.2;3.2 Stereo with dynamic scenes;64
6.2.3;3.3 Virtualized Reality tm;65
6.2.4;3.4 Image-based visual hulls;70
6.2.5;3.5 Stanford Light Field Camera;72
6.2.6;3.6 Model-based rendering;75
6.2.7;3.7 Layer-based rendering;79
6.2.8;3.8 Comparisons of systems;83
6.2.9;3.9 Challenges;86
6.3;Rendering Techniques;87
6.3.1;4.1 Geometry-rendering matrix;88
6.3.2;4.2 Rendering with no geometry;90
6.3.3;4.4 Monolithic rendering;100
6.3.4;4.5 Layer-based rendering;104
6.3.5;4.6 Software and hardware issues;105
7;Part II Sampling;107
7.1;Plenoptic Sampling;109
7.1.1;5.1 Introduction;109
7.1.2;5.2 Spectral analysis of light field;111
7.1.3;5.3 Minimum sampling in joint image-geometry space;121
7.1.4;5.4 Experiments;124
7.1.5;5.5 Conclusion and Discussion;126
7.2;Geometric Analysis of Light Field Rendering;130
7.2.1;6.1 Problem formulation;130
7.2.2;6.2 Minimum sampling rate of Concentric Mosaics;138
7.2.3;6.3 Minimum sampling rate of light field;144
7.2.4;6.4 Dealing with occlusion;151
7.3;Optical Analysis of Light Field Rendering;155
7.3.1;7.1 Introduction;155
7.3.2;7.2 Conventional thin lens optical system;156
7.3.3;7.3 Light field rendering: An optical analysis;158
7.3.4;7.4 Minimum sampling of light field;164
7.3.5;7.5 Summary;166
7.4;Optimizing Rendering Performance using Sampling Analysis;168
7.4.1;8.1 Introduction;168
7.4.2;8.2 Related work;169
7.4.3;8.3 Layered Lumigraph;172
7.4.4;8.4 Layered Lumigraph rendering;175
7.4.5;8.5 Experimental Results;179
7.4.6;8.6 Summary;181
8;Part III Compression;184
8.1;Introduction to Compression;186
8.1.1;9.1 Waveform coding;186
8.1.2;9.2 Basic concept and terminology;190
8.1.3;9.3 Quantization techniques;193
8.2;Image Compression Techniques;200
8.2.1;10.1 Image format;200
8.2.2;10.2 Transform coding of images;201
8.2.3;10.3 JPEG standard;206
8.2.4;10.4 The JPEG-2000 standard;210
8.2.5;10.5 Appendix: VQ structures;216
8.3;Video Compression Techniques;220
8.3.1;11.1 Video formats;220
8.3.2;11.2 Motion compensation/prediction;224
8.3.3;11.3 Motion compensated hybrid DCT/DPCJM coding;227
8.3.4;11.4 Video coding standards;230
8.4;Compression of Static Image-based Representations;249
8.4.1;12.1 The problem of IBR compression;249
8.4.2;12.2 Compression of Concentric Mosaics (CMs);252
8.4.3;12.3 Compression of light field;261
8.5;Compression of Dynamic Image-based Representations;276
8.5.1;13.1 The problem of dynamic IBR compression;276
8.5.2;13.2 Compression of panoramic videos;277
8.5.3;13.3 Dynamic light fields and plenoptic videos;287
8.5.4;13.4 Object-based compression of plenoptic videos;301
8.5.5;13.5 Future directions and challenges;310
9;Part IV Systems and Applications;313
9.1;Rendering by Manifold Hopping;315
9.1.1;14.1 Preliminaries;316
9.1.2;14.2 The signed Hough ray space;319
9.1.3;14.3 Analysis of lateral hopping;322
9.1.4;14.4 Analysis of looming hopping using extended signed Hough space;324
9.1.5;14.5 Outside looking in;325
9.1.6;14.6 Experiments;330
9.1.7;14.7 Discussion;331
9.1.8;14.8 Concluding remarks;333
9.2;Large Environment Rendering using Plenoptic Primitives;338
9.2.1;15.1 Customized visual experience;339
9.2.2;15.2 Organization of chapter;339
9.2.3;15.3 Plenoptic primitives (PPs);339
9.2.4;15.4 Constructing and rendering environments;341
9.2.5;15.5 The authoring process;341
9.2.6;15.6 User interface;343
9.2.7;15.7 Rendering issues;344
9.2.8;15.8 Experimental results;346
9.2.9;15.9 Discussion;352
9.2.10;15.10 Concluding remarks;354
9.3;Pop-Up Light Field: An Interactive Image-Based Modeling and Rendering System;355
9.3.1;16.1 Motivation and approach;355
9.3.2;16.2 Outline of chapter;356
9.3.3;16.3 Related work;356
9.3.4;16.4 Pop-up light field representation;357
9.3.5;16.5 Pop-up light field construction;363
9.3.6;16.6 Real-time rendering of pop-up light field;369
9.3.7;16.7 Experimental results;372
9.3.8;16.8 Discussion;375
9.3.9;16.9 Concluding remarks;376
9.4;Feature-Based Light Field Morphing;377
9.4.1;17.1 The morphing problem;377
9.4.2;17.2 Overview;380
9.4.3;17.3 Features and visibility;382
9.4.4;17.4 Warping;384
9.4.5;17.5 Results;389
9.4.6;17.6 Discussion;391
9.4.7;17.7 Concluding remarks;391
10;References;393
11;Index;411