Studies in Computational Intelligence

Registration and Recognition in Images and Videos

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

  • Latest research on Registration, Recognition and Reconstruction in Images and Videos
  • New developments in Computer Vision
  • Written by leading experts in the field
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eBook $139.00
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  • ISBN 978-3-642-44907-9
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Hardcover $179.00
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  • ISBN 978-3-642-44906-2
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  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
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  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • ISBN 978-3-662-52183-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days. October 7, 2016
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.

This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature.

Reviews

From the reviews:

“This book provides an in-depth overview of the recent advances in computer vision, with a particular focus on images and videos. … this is a very good book and I would recommend it to anyone interested in learning more about the current state-of-the-art computer vision methodologies. … the book will be of interest to the wider computer vision community.” (Charalambos Poullis, Computing Reviews, May, 2014)

Table of contents (11 chapters)

  • The Visual Field: Simultaneous Order in Immediate Visual Awareness

    Koenderink, Jan (et al.)

    Pages 1-27

  • A Primer for Colour Computer Vision

    Finlayson, Graham D.

    Pages 29-47

  • Descriptor Learning for Omnidirectional Image Matching

    Masci, Jonathan (et al.)

    Pages 49-62

  • Visual Correspondence, the Lambert-Ambient Shape Space and the Systematic Design of Feature Descriptors

    Soatto, Stefano (et al.)

    Pages 63-93

  • Classemes: A Compact Image Descriptor for Efficient Novel-Class Recognition and Search

    Torresani, Lorenzo (et al.)

    Pages 95-111

Buy this book

eBook $139.00
price for USA
  • ISBN 978-3-642-44907-9
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-3-642-44906-2
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • ISBN 978-3-662-52183-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days. October 7, 2016
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Bibliographic Information

Bibliographic Information
Book Title
Registration and Recognition in Images and Videos
Editors
  • Roberto Cipolla
  • Sebastiano Battiato
  • Giovanni Maria Farinella
Series Title
Studies in Computational Intelligence
Series Volume
532
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-44907-9
DOI
10.1007/978-3-642-44907-9
Hardcover ISBN
978-3-642-44906-2
Softcover ISBN
978-3-662-52183-0
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVIII, 283
Number of Illustrations and Tables
30 b/w illustrations, 81 illustrations in colour
Topics