Registration and Recognition in Images and Videos

  • Roberto Cipolla
  • Sebastiano Battiato
  • Giovanni Maria Farinella

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

Table of contents

  1. Front Matter
    Pages 1-14
  2. Jan Koenderink, Andrea van Doorn, Whitman Richards
    Pages 1-27
  3. Graham D. Finlayson
    Pages 29-47
  4. Jonathan Masci, Davide Migliore, Michael M. Bronstein, Jürgen Schmidhuber
    Pages 49-62
  5. Lorenzo Torresani, Martin Szummer, Andrew Fitzgibbon
    Pages 95-111
  6. Tomáš Vojíř, Jiří Matas
    Pages 113-136
  7. Daniel Rueckert, Julia A. Schnabel
    Pages 137-156
  8. Marcello Pelillo, Samuel Rota Bulò
    Pages 157-186
  9. Stefano Berretti, Alberto Del Bimbo, Pietro Pala
    Pages 187-221
  10. Marco Cristani, Vittorio Murino
    Pages 223-256
  11. Kari Pulli, Alejandro Troccoli
    Pages 257-281
  12. Back Matter
    Pages 283-283

About this book

Introduction

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.

 

Keywords

Computer Vision Image Recognition Image Reconstrution Pattern Recognition Video Recognition Video Reconstruction

Editors and affiliations

  • Roberto Cipolla
    • 1
  • Sebastiano Battiato
    • 2
  • Giovanni Maria Farinella
    • 3
  1. 1.University of Cambridge Department of EngineeringCambridgeUnited Kingdom
  2. 2.Università di Catania Dipartimento di Matematica e InformaticaCataniaItaly
  3. 3.Università di Catania Dipartimento di Matematica e InformaticaCataniaItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-44907-9
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-44906-2
  • Online ISBN 978-3-642-44907-9
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • About this book
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