Information Theory Tools for Computer Graphics
eBook - PDF

Information Theory Tools for Computer Graphics

  1. English
  2. PDF
  3. Available on iOS & Android
eBook - PDF

Information Theory Tools for Computer Graphics

Book details
Table of contents
Citations

About This Book

Information theory (IT) tools, widely used in scientific fields such as engineering, physics, genetics, neuroscience, and many others, are also emerging as useful transversal tools in computer graphics. In this book, we present the basic concepts of IT and how they have been applied to the graphics areas of radiosity, adaptive ray-tracing, shape descriptors, viewpoint selection and saliency, scientific visualization, and geometry simplification. Some of the approaches presented, such as the viewpoint techniques, are now the state of the art in visualization. Almost all of the techniques presented in this book have been previously published in peer-reviewed conference proceedings or international journals. Here, we have stressed their common aspects and presented them in an unified way, so the reader can clearly see which problems IT tools can help solve, which specific tools to use, and how to apply them. A basic level of knowledge in computer graphics is required but basic concepts inIT are presented. The intended audiences are both students and practitioners of the fields above and related areas in computer graphics. In addition, IT practitioners will learn about these applications.Table of Contents: Information Theory Basics / Scene Complexity and Refinement Criteria for Radiosity / Shape Descriptors / Refinement Criteria for Ray-Tracing / Viewpoint Selection and Mesh Saliency / View Selection in Scientific Visualization / Viewpoint-based Geometry Simplification

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Yes, you can access Information Theory Tools for Computer Graphics by Mateu Sbert,Miquel Feixas,Jaume Rigau,Miguel Chover,Ivan Viola in PDF and/or ePUB format, as well as other popular books in Mathematics & Mathematics General. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Springer
Year
2022
ISBN
9783031795466

Table of contents

  1. Cover
  2. Copyright Page
  3. Title Page
  4. Contents
  5. Preface
  6. Information Theory Basics
  7. Scene Complexity and Refinement Criteria for Radiosity
  8. Shape Descriptors
  9. Refinement Criteria for Ray-Tracing
  10. Viewpoint Selection and Mesh Saliency
  11. 6 View Selection in Scientific Visualization
  12. 7 Viewpoint-based Geometry Simplification
  13. Summary
  14. Bibliography
  15. Author Biographies
  16. Index