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Optimization for Computer Vision

An Introduction to Core Concepts and Methods

  • Book
  • © 2013

Overview

Authors:
  1. Marco Alexander Treiber

    1. ASM Assembly Systems GmbH & Co. KG, Munich, Germany

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  • Presents a comprehensive overview of topics of relevance to computer vision-related optimization
  • Facilitates understanding by focusing on the fundamental concepts, and providing clearly written and easy-to-follow explanations
  • Supplies detailed information on how to implement specific methods, such as pseudocode

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xi
    Download chapter PDF

  2. Introduction

    • Marco Alexander Treiber
    Pages 1-16

  3. Continuous Optimization

    • Marco Alexander Treiber
    Pages 17-65

  4. Linear Programming and the Simplex Method

    • Marco Alexander Treiber
    Pages 67-85

  5. Variational Methods

    • Marco Alexander Treiber
    Pages 87-128

  6. Correspondence Problems

    • Marco Alexander Treiber
    Pages 129-175

  7. Graph Cuts

    • Marco Alexander Treiber
    Pages 177-220

  8. Dynamic Programming (DP)

    • Marco Alexander Treiber
    Pages 221-254

  9. Back Matter

    Pages 255-257
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About this book

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.

Reviews

From the reviews:

 “The book is loosely structured around the different approaches to optimization within computer vision … . this is an impressive book that will prove useful for post-graduate and advanced undergraduate readers. The constant use of pseudocode and the grounding within applications and examples make this book suitable as both an introduction to the field as well as a reference text. … it is a useful and important work that I will certainly be using in the years to come.” (Harry Strange, Computing Reviews, April, 2014)

“The goal of this book is to provide a practical guide to optimization algorithms that are commonly used in computer vision applications. … the book very well suited for computer-vision practitioners who are interested in identifying the most appropriate algorithms for their optimization problems and in implementing these algorithms. … this book is a nice reference that can be used in combination with the most computer-vision textbooks and papers.” (Laurens van der Maaten, zbMATH, Vol. 1280, 2014)

Authors and Affiliations

  • ASM Assembly Systems GmbH & Co. KG, Munich, Germany

    Marco Alexander Treiber

Bibliographic Information

  • Book Title: Optimization for Computer Vision

  • Book Subtitle: An Introduction to Core Concepts and Methods

  • Authors: Marco Alexander Treiber

  • Series Title: Advances in Computer Vision and Pattern Recognition

  • DOI: https://doi.org/10.1007/978-1-4471-5283-5

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag London 2013

  • Hardcover ISBN: 978-1-4471-5282-8Published: 24 July 2013

  • Softcover ISBN: 978-1-4471-7065-5Published: 23 August 2016

  • eBook ISBN: 978-1-4471-5283-5Published: 12 July 2013

  • Series ISSN: 2191-6586

  • Series E-ISSN: 2191-6594

  • Edition Number: 1

  • Number of Pages: XI, 257

  • Number of Illustrations: 14 b/w illustrations, 93 illustrations in colour

  • Topics: Image Processing and Computer Vision, Optimization

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