The Springer International Series in Engineering and Computer Science

A Pyramid Framework for Early Vision

Multiresolutional Computer Vision

Authors: Jolion, Jean-Michel, Rosenfeld, Azriel

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About this book

Biological visual systems employ massively parallel processing to perform real-world visual tasks in real time. A key to this remarkable performance seems to be that biological systems construct representations of their visual image data at multiple scales. A Pyramid Framework for Early Vision describes a multiscale, or `pyramid', approach to vision, including its theoretical foundations, a set of pyramid-based modules for image processing, object detection, texture discrimination, contour detection and processing, feature detection and description, and motion detection and tracking. It also shows how these modules can be implemented very efficiently on hypercube-connected processor networks.
A Pyramid Framework for Early Vision is intended for both students of vision and vision system designers; it provides a general approach to vision systems design as well as a set of robust, efficient vision modules.

Table of contents (4 chapters)

  • Introduction

    Jolion, Jean-Michel (et al.)

    Pages 1-5

  • Hierarchical Frameworks for Early Vision

    Jolion, Jean-Michel (et al.)

    Pages 6-61

  • Pyramid Based Visual Modules

    Jolion, Jean-Michel (et al.)

    Pages 62-169

  • Integration and Extensions

    Jolion, Jean-Michel (et al.)

    Pages 170-186

Buy this book

eBook $74.99
price for USA (gross)
  • ISBN 978-1-4615-2792-3
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.00
price for USA
  • ISBN 978-1-4613-6207-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
A Pyramid Framework for Early Vision
Book Subtitle
Multiresolutional Computer Vision
Authors
Series Title
The Springer International Series in Engineering and Computer Science
Series Volume
251
Copyright
1994
Publisher
Springer US
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-1-4615-2792-3
DOI
10.1007/978-1-4615-2792-3
Softcover ISBN
978-1-4613-6207-4
Series ISSN
0893-3405
Edition Number
1
Number of Pages
XII, 218
Topics