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

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Synopses & Reviews

Publisher Comments:

Mathematical Optimization of Computer Graphics and Vision

Luiz Velho, Paulo Cezar Pinto Carvalho,

Jonas Gomes, Luiz Henrique de Figueiredo

Mathematical optimization is deeply pervasive in the vast majority of graphical applications. 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 provides a conceptual overview of the key problems in computer graphics and explains the core mathematical models that can be used to solve them, demonstrating their pivotal importance.

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 Correction

Geometric Modeling

Animation

Visualization

Coding and Compression

Image Processing

Computer Vision

Image and Color Quantization

Level of Detail Computation

Interactive Visualization

Minimum Paths in Maps

Surface Reconstruction from Sections

Algorithms, such as Newton methods, linear programming, conjugate gradient and sequential quadratic programming, Dijkstra, and Branch-and-bound, are explained alongside strategies for devising good algorithms. Special emphasis is given to the subtle relationships between probability theory and mathematical optimization. Cutting-edge research is discussed in a section at the end of every chapter, accompanied by targeted references to further reading.

Professionals exploring computer vision, geometric modeling, visualization, animation, and image processing will all benefit from the insights of the authors, who are renowned researchers from IMPA, the Brazilian National Institute for Pure, and Applied Mathematics.

Synopsis:

The definitive one-stop reference on mathematical optimization techniques for computer graphics.

Synopsis:

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.

The authors are renowned researchers from IMPA, the Brazilian National Institute for Pure and Applied Mathematics.

*Distils down a vast and complex world of info 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

About the Author

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.

Instituto de Matematica Pura e Aplicada (IMPA), Brazil

Table of Contents

Computer Graphics

Optimization: an overview

Optimization and computer graphics

Variational optimization

Continuous optimization

Combinatorial optimization

Global Optimization

Probability and Optimization

Product Details

ISBN:
9780127159515
Author:
Velho, Luiz
Publisher:
Morgan Kaufmann Publishers
Author:
Gomes, Jonas
Author:
Carvalho, Paulo
Author:
Carvalho, Paulo Cezar Pinto
Subject:
Computer graphics -- Design.
Subject:
Computer graphics
Subject:
Mathematical optimization
Subject:
Computer Graphics - General
Subject:
Graphics-General
Copyright:
Series:
Morgan Kaufmann Series in Computer Graphics
Publication Date:
20080431
Binding:
HARDCOVER
Language:
English
Illustrations:
Y
Pages:
304
Dimensions:
9.25 x 7.5 in

Related Subjects

Computers and Internet » Graphics » General
Computers and Internet » Graphics » Programming
Computers and Internet » Networking » General
Health and Self-Help » Health and Medicine » Medical Specialties
Science and Mathematics » Biology » Cytology and Cell Biology
Science and Mathematics » Environmental Studies » General

Mathematical Optimization in Computer Graphics and Vision (Morgan Kaufmann Series in Computer Graphics) Short Discount Markdown Hardcover
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Product details 304 pages Morgan Kaufmann Publishers - English 9780127159515 Reviews:
"Synopsis" by , The definitive one-stop reference on mathematical optimization techniques for computer graphics.
"Synopsis" by , 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.

The authors are renowned researchers from IMPA, the Brazilian National Institute for Pure and Applied Mathematics.

*Distils down a vast and complex world of info 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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