Overview
- 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)
About this book
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
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