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Advances in Computer Vision and Pattern Recognition

An Introduction to Object Recognition

Selected Algorithms for a Wide Variety of Applications

Authors: Treiber, Marco Alexander

  • Provides an easy-to-follow introduction to the field of object recognition
  • Covers a broad spectrum of applications
  • Describes the flow of each algorithm in detail for each method, including graphical illustrations
  • Contains numerous examples, including some examples taken from commercial products
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eBook $109.00
price for USA
  • ISBN 978-1-84996-235-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $149.00
price for USA
  • ISBN 978-1-84996-234-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-1-4471-2578-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Rapid development of computer hardware has enabled usage of automatic object recognition in an increasing number of applications, ranging from industrial image processing to medical applications, as well as tasks triggered by the widespread use of the internet. Each area of application has its specific requirements, and consequently these cannot all be tackled appropriately by a single, general-purpose algorithm.

This easy-to-read text/reference provides a comprehensive introduction to the field of object recognition (OR). The book presents an overview of the diverse applications for OR and highlights important algorithm classes, presenting representative example algorithms for each class. The presentation of each algorithm describes the basic algorithm flow in detail, complete with graphical illustrations. Pseudocode implementations are also included for many of the methods, and definitions are supplied for terms which may be unfamiliar to the novice reader. Supporting a clear and intuitive tutorial style, the usage of mathematics is kept to a minimum.

Topics and features:

  • Presents example algorithms covering global approaches, transformation-search-based methods, geometrical model driven methods, 3D object recognition schemes, flexible contour fitting algorithms, and descriptor-based methods
  • Explores each method in its entirety, rather than focusing on individual steps in isolation, with a detailed description of the flow of each algorithm, including graphical illustrations
  • Explains the important concepts at length in a simple-to-understand style, with a minimum usage of mathematics
  • Discusses a broad spectrum of applications, including some examples from commercial products
  • Contains appendices discussing topics related to OR and widely used in the algorithms, (but not at the core of the methods described in the chapters)

Practitioners of industrial image processing will find this simple introduction and overview to OR a valuable reference, as will graduate students in computer vision courses.

Marco Treiber is a software developer at ASM Assembly Systems, Munich, Germany, where he is Technical Lead in Image Processing for the Vision System of SiPlace placement machines, used in SMT assembly.

Table of contents (8 chapters)

Buy this book

eBook $109.00
price for USA
  • ISBN 978-1-84996-235-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $149.00
price for USA
  • ISBN 978-1-84996-234-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-1-4471-2578-5
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
An Introduction to Object Recognition
Book Subtitle
Selected Algorithms for a Wide Variety of Applications
Authors
Series Title
Advances in Computer Vision and Pattern Recognition
Copyright
2010
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London Limited
eBook ISBN
978-1-84996-235-3
DOI
10.1007/978-1-84996-235-3
Hardcover ISBN
978-1-84996-234-6
Softcover ISBN
978-1-4471-2578-5
Series ISSN
2191-6586
Edition Number
1
Number of Pages
XVIII, 202
Topics