Overview
- Discusses computer vision with a focus on extracting useful information from images and on the detection of the basic content of digital images
- Studies the basics of image processing and image analysis as well as vector space and computational geometry views of images
- Introduces the fundamentals of computer vision
- Includes not only the basics of image processing and image analysis but also visualization, vector space and computational geometry aspects of digital images
- Includes supplementary material: sn.pub/extras
Part of the book series: Intelligent Systems Reference Library (ISRL, volume 124)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (9 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
This book introduces the fundamentals of computer vision (CV), with a focus on extracting useful information from digital images and videos. Including a wealth of methods used in detecting and classifying image objects and their shapes, it is the first book to apply a trio of tools (computational geometry, topology and algorithms) in solving CV problems, shape tracking in image object recognition and detecting the repetition of shapes in single images and video frames. Computational geometry provides a visualization of topological structures such as neighborhoods of points embedded in images, while image topology supplies us with structures useful in the analysis and classification of image regions. Algorithms provide a practical, step-by-step means of viewing image structures.
The implementations of CV methods in Matlab and Mathematica, classification of chapter problems with the symbols (easily solved) and (challenging) and its extensive glossary of key words, examples and connections with the fabric of CV make the book an invaluable resource for advanced undergraduate and first year graduate students in Engineering, Computer Science or Applied Mathematics.
It offers insights into the design of CV experiments, inclusion of image processing methods in CV projects, as well as the reconstruction and interpretation of recorded natural scenes.
Authors and Affiliations
Bibliographic Information
Book Title: Foundations of Computer Vision
Book Subtitle: Computational Geometry, Visual Image Structures and Object Shape Detection
Authors: James F. Peters
Series Title: Intelligent Systems Reference Library
DOI: https://doi.org/10.1007/978-3-319-52483-2
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-52481-8Published: 23 March 2017
Softcover ISBN: 978-3-319-84912-6Published: 19 July 2018
eBook ISBN: 978-3-319-52483-2Published: 17 March 2017
Series ISSN: 1868-4394
Series E-ISSN: 1868-4408
Edition Number: 1
Number of Pages: XVII, 431
Number of Illustrations: 53 b/w illustrations, 301 illustrations in colour
Topics: Computational Intelligence, Image Processing and Computer Vision, Artificial Intelligence, Applications of Graph Theory and Complex Networks