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)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents(11 chapters)
About this book
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
-
Dept. Computer Science and Engineering, Wright State University, Dayton, USA
A. Ardeshir Goshtasby
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