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Image-Based Rendering

By Heung-Yeung Shum , Shing-Chow Chan , Sing Bing Kang

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An extensive focus on Image-Based Rendering (IBR) makes this book one of the only titles devoted exclusively to IBR. The authors combine their unique experiences to address the multidisciplinary nature of IBR research.

Full Description

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  • ISBN13: 978-0-3872-1113-8
  • 440 Pages
  • User Level: Science
  • Publication Date: May 26, 2008
  • Available eBook Formats: PDF
Full Description
Image-Based Rendering examines the theory, practice, and applications associated with image-based rendering and modeling. As leading researchers in the field, the authors combine their unique experiences in computer graphics, computer vision, and signal processing to address the multidisciplinary nature of IBR research. The topics covered vary from IBR basic concepts and representations on the theory side to signal processing and data compression on the practical side. Several IBR systems built to-date are examined. Rather than focusing on 3D modeling aspects, which have been extensively treated elsewhere in the vision literature, the book focuses primarily on IBR. 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. Advanced-level students in EECS studying related disciplines will be able to seriously expand their knowledge about image-based rendering.
Table of Contents

Table of Contents

  1. Foreword.
  2. Preface.
  3. Acknowledgements.
  4. Introduction.
  5. Part I: Basic Concepts: Direct Image Representations.
  6. Representations with Explicit Geometry.
  7. Rendering Dynamic Scenes.
  8. Representation and Rendering Issues.
  9. Part II: Sampling: Plenoptic Sampling.
  10. A Geometric Analysis of Light Field Rendering.
  11. Sampling in Dual Space.
  12. Bibliography.
  13. Part III: Compression: Data Compression Techniques.
  14. Image and Video Compression.
  15. Compression of Static Image
  16. based Representations.
  17. Compression of Dynamic Image
  18. based Representations.
  19. Part IV: Systems and Applications: Rendering by Manifold Hopping.
  20. Large Environment Rendering Using Plenoptic Primitives.
  21. Pop
  22. Up Light Field: An Interactive Image
  23. based Modeling and Rendering System.
  24. Feature
  25. based Light Field Morphing.
  26. Concluding Remarks.
  27. Bibliography.

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