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

# Mathematical Optimization in Computer Graphics and Vision (The Morgan Kaufmann Series in Computer Graphics) ☆ PDF Download by ^ Luiz Velho, Paulo Carvalho, Jonas Gomes, Luiz de Figueiredo eBook or Kindle ePUB Online free. Mathematical Optimization in Computer Graphics and Vision (The Morgan Kaufmann Series in Computer Graphics) sam said good as an overview. This book is really good as a survey and an introduction. If you have no idea about optimization in computer vision, you should read this. It enumerates different types of optimization categories and after that you might know which kind of technique you need for your problem. However, the book is not . Very Good Book according to Gamal Seedahmed. This book provides an interesting overview of optimization methods as applied to computer vision and graphics. It offer

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

Author :
Rating : 4.27 (959 Votes)
Asin : 0127159517
Format Type : paperback
Number of Pages : 304 Pages
Publish Date : 2015-10-16
Language : English

DESCRIPTION:

. Luiz Velho works with Jonas Gomes at IMPA, also as a computer graphics researcher.Jonas Gomes is a computer graphics researcher at the Institute of Pure and Applied Mathematics (IMPA), Brazil

sam said good as an overview. This book is really good as a survey and an introduction. If you have no idea about optimization in computer vision, you should read this. It enumerates different types of optimization categories and after that you might know which kind of technique you need for your problem. However, the book is not . "Very Good Book" according to Gamal Seedahmed. This book provides an interesting overview of optimization methods as applied to computer vision and graphics. It offers very useful guidelines on how to use the optimization methods in different application. I recommend it.. "Very superficial" according to D. A. Beatty. You can get more depth surfing wikipedia. Superficial treatment of many topics, few formulas, and no real focus on the intersection of the topics in the title.

To study all available methodologies would be the work of a lifetime, however, there is a 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. This authoritative reference is a consolidated guide to the seminal techniques of mathematical optimization as applied to computer graphics and vision. It aids readers in finding the right optimization technique for a specific application by providing combinatorial, continuous, variational, and global optimization methods for applications including:Camera Calibration Color CorrectionGeometric ModelingAnimationVisualizationCoding and Compression Image ProcessingComputer Vision Image and Color QuantizationLevel of Detail ComputationInteractive VisualizationMinimum Paths in MapsSurface Reconstruction from SectionsAlgorithms

Mathematical optimization is used in nearly all computer graphics applications, from computer vision to animation. 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. 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. *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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