Mathematical Optimization in Computer Graphics and Vision ( The Morgan Kaufmann Series in Computer Graphics )

Publication series :The Morgan Kaufmann Series in Computer Graphics

Author: Velho   Luiz;Carvalho   Paulo;Gomes   Jonas  

Publisher: Elsevier Science‎

Publication year: 2011

E-ISBN: 9780080878584

P-ISBN(Paperback): 9780127159515

P-ISBN(Hardback):  9780127159515

Subject: TP3 Computers;TP39 computer application

Language: ENG

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Description

Mathematical optimization is used in nearly all computer graphics applications, from computer vision to animation. This book teaches readers the core set of techniques that every computer graphics professional should understand in order to envision and expand the boundaries of what is possible in their work.

Study of this authoritative reference will help readers develop a very powerful tool- the ability to create and decipher mathematical models that can better realize solutions to even the toughest problems confronting computer graphics community today.

  • Distills down a vast and complex world of information on optimization into one short, self-contained volume especially for computer graphics
  • Helps CG professionals identify the best technique for solving particular problems quickly, by categorizing the most effective algorithms by application
  • Keeps readers current by supplementing the focus on key, classic methods with special end-of-chapter sections on cutting-edge developments

Chapter

Front Cover

pp.:  1 – 4

Copyright Page

pp.:  5 – 6

Table of Contents

pp.:  6 – 16

List of Figures

pp.:  16 – 22

Preface

pp.:  22 – 25

Acknowledgments

pp.:  25 – 26

Chapter 1. Computer Graphics

pp.:  26 – 50

Chapter 2. Optimization: An Overview

pp.:  50 – 68

Chapter 3. Optimization and Computer Graphics

pp.:  68 – 88

Chapter 4. Variational Optimization

pp.:  88 – 102

Chapter 5. Continuous Optimization

pp.:  102 – 158

Chapter 6. Combinatorial Optimization

pp.:  158 – 234

Chapter 7. Global Optimization

pp.:  234 – 270

Chapter 8. Probability and Optimization

pp.:  270 – 296

Index

pp.:  296 – 302

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