Studies in Computational Intelligence

Computer Vision

Detection, Recognition and Reconstruction

Editors: Cipolla, Roberto, Battiato, Sebastiano, Farinella, Giovanni Maria (Eds.)

  • Recent Results in Detection, Recognition and Reconstruction in Computer Vision
  • Overview of the state of the art
  • Written by experts in this field
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About this book

Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the first two editions of the school on topics such as Recognition, Registration and Reconstruction. The chapters provide an in-depth overview of these challenging areas with key references to the existing literature.

Table of contents (12 chapters)

  • Is Human Vision Any Good?

    Koenderink, Jan J.

    Pages 1-25

  • Knowing a Good Feature When You See It: Ground Truth and Methodology to Evaluate Local Features for Recognition

    Vedaldi, Andrea (et al.)

    Pages 27-49

  • Dynamic Graph Cuts and Their Applications in Computer Vision

    Kohli, Pushmeet (et al.)

    Pages 51-108

  • Discriminative Graphical Models for Context-Based Classification

    Kumar, Sanjiv

    Pages 109-134

  • From the Subspace Methods to the Mutual Subspace Method

    Maeda, Ken-ichi

    Pages 135-156

Buy this book

eBook $189.00
price for USA
  • ISBN 978-3-642-12848-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $249.00
price for USA
  • ISBN 978-3-642-12847-9
  • Free shipping for individuals worldwide
  • Online orders shipping within 2-3 days.
Softcover $249.00
price for USA
  • ISBN 978-3-662-50556-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Computer Vision
Book Subtitle
Detection, Recognition and Reconstruction
Editors
  • Roberto Cipolla
  • Sebastiano Battiato
  • Giovanni Maria Farinella
Series Title
Studies in Computational Intelligence
Series Volume
285
Copyright
2010
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-12848-6
DOI
10.1007/978-3-642-12848-6
Hardcover ISBN
978-3-642-12847-9
Softcover ISBN
978-3-662-50556-4
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XX, 350
Topics