Optimization for Computer Vision

An Introduction to Core Concepts and Methods

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Application Software, Computer Graphics, General Computing
Cover of the book Optimization for Computer Vision by Marco Alexander Treiber, Springer London
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Author: Marco Alexander Treiber ISBN: 9781447152835
Publisher: Springer London Publication: July 12, 2013
Imprint: Springer Language: English
Author: Marco Alexander Treiber
ISBN: 9781447152835
Publisher: Springer London
Publication: July 12, 2013
Imprint: Springer
Language: English

This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision. In order to facilitate understanding, the presentation of the methods is supplemented by simple flow charts, followed by pseudocode implementations that reveal deeper insights into their mode of operation. These discussions are further supported by examples taken from important applications in computer vision. Topics and features: provides a comprehensive overview of computer vision-related optimization; covers a range of techniques from classical iterative multidimensional optimization to cutting-edge topics of graph cuts and GPU-suited total variation-based optimization; describes in detail the optimization methods employed in computer vision applications; illuminates key concepts with clearly written and step-by-step explanations; presents detailed information on implementation, including pseudocode for most methods.

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This practical and authoritative text/reference presents a broad introduction to the optimization methods used specifically in computer vision. In order to facilitate understanding, the presentation of the methods is supplemented by simple flow charts, followed by pseudocode implementations that reveal deeper insights into their mode of operation. These discussions are further supported by examples taken from important applications in computer vision. Topics and features: provides a comprehensive overview of computer vision-related optimization; covers a range of techniques from classical iterative multidimensional optimization to cutting-edge topics of graph cuts and GPU-suited total variation-based optimization; describes in detail the optimization methods employed in computer vision applications; illuminates key concepts with clearly written and step-by-step explanations; presents detailed information on implementation, including pseudocode for most methods.

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