Skip to main content
Springer Nature Link
Log in

Registration and Recognition in Images and Videos

  • Book
  • © 2014

Overview

Editors:
  1. Roberto Cipolla

    1. University of Cambridge Department of Engineering, Cambridge, United Kingdom

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Sebastiano Battiato

    1. Università di Catania Dipartimento di Matematica e Informatica, Catania, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Giovanni Maria Farinella

    1. Università di Catania Dipartimento di Matematica e Informatica, Catania, Italy

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Latest research on Registration, Recognition and Reconstruction in Images and Videos
  • New developments in Computer Vision
  • Written by leading experts in the field

Part of the book series: Studies in Computational Intelligence (SCI, volume 532)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

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.

Similar content being viewed by others

Keywords

Table of contents (11 chapters)

  1. Front Matter

    Pages 1-14
    Download chapter PDF

  2. The Visual Field: Simultaneous Order in Immediate Visual Awareness

    • Jan Koenderink, Andrea van Doorn, Whitman Richards
    Pages 1-27

  3. A Primer for Colour Computer Vision

    • Graham D. Finlayson
    Pages 29-47

  4. Descriptor Learning for Omnidirectional Image Matching

    • Jonathan Masci, Davide Migliore, Michael M. Bronstein, Jürgen Schmidhuber
    Pages 49-62

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

    • Stefano Soatto, Jingming Dong
    Pages 63-93

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

    • Lorenzo Torresani, Martin Szummer, Andrew Fitzgibbon
    Pages 95-111

  7. The Enhanced Flock of Trackers

    • Tomáš Vojíř, Jiří Matas
    Pages 113-136

  8. Registration and Segmentation in Medical Imaging

    • Daniel Rueckert, Julia A. Schnabel
    Pages 137-156

  9. Clustering Games

    • Marcello Pelillo, Samuel Rota Bulò
    Pages 157-186

  10. About 3D Faces

    • Stefano Berretti, Alberto Del Bimbo, Pietro Pala
    Pages 187-221

  11. Socially-Driven Computer Vision for Group Behavior Analysis

    • Marco Cristani, Vittorio Murino
    Pages 223-256

  12. Mobile Computational Photography with FCam

    • Kari Pulli, Alejandro Troccoli
    Pages 257-281

  13. Back Matter

    Pages 283-283
    Download chapter PDF
Back to top

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)

Editors and Affiliations

  • University of Cambridge Department of Engineering, Cambridge, United Kingdom

    Roberto Cipolla

  • Università di Catania Dipartimento di Matematica e Informatica, Catania, Italy

    Sebastiano Battiato, Giovanni Maria Farinella

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

  • DOI: https://doi.org/10.1007/978-3-642-44907-9

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Hardcover ISBN: 978-3-642-44906-2Published: 04 December 2013

  • Softcover ISBN: 978-3-662-52183-0Published: 23 August 2016

  • eBook ISBN: 978-3-642-44907-9Published: 19 November 2013

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVIII, 283

  • Number of Illustrations: 30 b/w illustrations, 81 illustrations in colour

  • Topics: Computational Intelligence, Image Processing and Computer Vision, Pattern Recognition, Artificial Intelligence

Publish with us

Policies and ethics

Back to top