Happy Holidays! Over 120,000 eBooks at just 19.99 each— Pick a favorite today

Intelligent Systems Reference Library

Foundations of Computer Vision

Computational Geometry, Visual Image Structures and Object Shape Detection

Authors: Peters, James F.

  • 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
  •  
see more benefits

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-319-52483-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-319-52481-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this Textbook

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.

Table of contents (9 chapters)

  • Basics Leading to Machine Vision

    Peters, James F.

    Pages 1-85

  • Working with Pixels

    Peters, James F.

    Pages 87-124

  • Visualising Pixel Intensity Distributions

    Peters, James F.

    Pages 125-144

  • Linear Filtering

    Peters, James F.

    Pages 145-160

  • Edges, Lines, Corners, Gaussian Kernel and Voronoï Meshes

    Peters, James F.

    Pages 161-197

Buy this book

eBook $84.99
price for USA (gross)
  • ISBN 978-3-319-52483-2
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $109.00
price for USA
  • ISBN 978-3-319-52481-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Loading...

Recommended for you

Loading...

Bibliographic Information

Bibliographic Information
Book Title
Foundations of Computer Vision
Book Subtitle
Computational Geometry, Visual Image Structures and Object Shape Detection
Authors
Series Title
Intelligent Systems Reference Library
Series Volume
124
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-52483-2
DOI
10.1007/978-3-319-52483-2
Hardcover ISBN
978-3-319-52481-8
Series ISSN
1868-4394
Edition Number
1
Number of Pages
XVII, 431
Number of Illustrations and Tables
53 b/w illustrations, 301 illustrations in colour
Topics