Overview
- Reviews a vast array of tools and methods, describing the underlying principles and comparing their performances
- Includes a glossary, an extensive list of references, and an appendix on principal component analysis
- Provides supplementary images and data in an associated website
- Includes supplementary material: sn.pub/extras
Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)
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Keywords
Table of contents (11 chapters)
Reviews
From the reviews:
“The book Image Registration: Principles, Tools and Methods by A. Ardeshir Goshtasby is a detailed reference on … low-level computer vision sub-tasks. … The book provides explicit near-pseudo-code descriptions of some of the algorithms discussed which can be helpful for someone interested in implementing the algorithms. It has a total of 441 pages and is self-contained and easy to read, thus well suited as a reference book for students and practitioners … .” (Zeeshan Zia, IAPR Newsletter, Vol. 35 (2), April, 2013)
“This book aims to describe principles, tools and methods in image registration. … New tools and methods are introduced and evaluated. The book covers the fundamentals of digital image registration … . Each chapter concludes with an extensive and … updated list of bibliographic references. This book is a valuable text for students, image analysis software developers, engineers, and researchers who would like to analyze two or more images of a scene.” (Oscar Bustos, Zentralblatt MATH, Vol. 1243, 2012)
Authors and Affiliations
Bibliographic Information
Book Title: Image Registration
Book Subtitle: Principles, Tools and Methods
Authors: A. Ardeshir Goshtasby
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-1-4471-2458-0
Publisher: Springer London
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer-Verlag London Limited 2012
Hardcover ISBN: 978-1-4471-2457-3Published: 13 January 2012
Softcover ISBN: 978-1-4471-5799-1Published: 22 February 2014
eBook ISBN: 978-1-4471-2458-0Published: 11 January 2012
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XVIII, 442
Topics: Image Processing and Computer Vision, Pattern Recognition