Mathematical Optimization in Computer Graphics and Vision
By Luiz Velho, Paulo Carvalho, Jonas Gomes, Luiz de Figueiredo
Publisher: Elsevier / Morgan Kaufmann
Final Release Date: August 2011
Pages: 304

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
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Quick Intro for University Freshperson

By Yuta

from Japan

About Me Developer


  • Accurate
  • Concise
  • Easy to understand


  • Not comprehensive enough
  • Too basic

Best Uses

  • Intermediate
  • Student

Comments about oreilly Mathematical Optimization in Computer Graphics and Vision:

It appears that a target of this book is high school or college learners who are going to write papers for SIGGRAPH in the future. Experienced engineers may find that this book is helpful to make mathematical basis under their field experience. Artists or engineers in need of tutorial, how-to, and quick tour are not a target. Researchers in need of overview of this field, latest topics, or specialized knowledge are also not a target.

The author spent many pages for describing the mathematical definition and basis of CG, CV, and optimization. It saves times for reading text books of each field, but those books give more broad and in-depth understand. The good reference list helps the learners having access to a library of scientific journals.
There're three major concerns for engineers. First, it doesn't cover the latest topics, though the classic bases are covered well. Second, it's oriented to CAD or pure 3D CG. The approximate algorithms and AI used in the entertainment field are not covered. Third, a real world performance is not covered well. The author described complexity class closely, but not bus bandwidth, parallelism, cache, memory topology.

I'm not a target of this book, because I already studied the basic knowledge of optimization and CG at university. Why did I buy this? The table of contents was not available when I bought. So I've felt disappointed at the following points: shallow description; the latest topics in a few years not covered; interdisciplinary topics not covered well. But I recommend this book to advanced high school learners and fresh college learners, since it will be a good introduction for them.

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