Unifying Perspectives in Computational and Robot Vision

  • Danica Kragic
  • Ville Kyrki

Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 8)

Table of contents

  1. Front Matter
    Pages i-xix
  2. Ville Kyrki, Danica Kragic
    Pages 1-10
  3. Zoran Zivkovic, Ben Kröse
    Pages 25-39
  4. Tamim Asfour, Kai Welke, Aleš Ude, Pedram Azad, Rüdiger Dillmann
    Pages 41-55
  5. Christophe Doignon, Florent Nageotte, Benjamin Maurin, Alexandre Krupa
    Pages 79-101
  6. Gabe Sibley, Larry Matthies, Gaurav Sukhatme
    Pages 103-112
  7. A. C. Murillo, J. J. Guerrero, C. Saguüés
    Pages 113-128
  8. Simon Lacroix, Thomas Lemaire, Cyrille Berger
    Pages 129-147
  9. James J. Little, Tristram Southey
    Pages 149-161
  10. Darius Burschka
    Pages 163-185
  11. Ruben Smits, Duccio Fioravanti, Tinne De Laet, Benedetto Allotta, Herman Bruyninckx, Joris De Schutter
    Pages 187-204
  12. Back Matter
    Pages 205-206

About this book


The field of computer vision has developed significantly over the last several years and the application areas span a broad range from medicine to robotics and surveillance.

Unifying Perspectives in Computational and Robot Vision provides an overview of the latest research surrounding vision algorithms and their use and evaluation with robotic applications.

In robotics, computer vision is mainly seen as another sensory modality and new algorithms are commonly developed for different applications. In the computer vision community, there have been more requirements for benchmarking and comparison of methods but very few are still applied in realistic settings and in real-time which is one of the strongest requirements in robotic applications. Unifying Perspectives in Computational and Robot Vision brings the communities of robot and computer
vision to a joint appreciation of the value of systems, where there is a need to consider all aspects from perception to action generation.

Based on a workshop "From Features to Actions: Unifying Perspectives in Computational and Robot Vision" that was organized by the editors at the IEEE International Conference on Robotics and Automation (Rome, April 2007), Unifying Perspectives in Computational and Robot Vision will be a valuable resource for readers.


Navigation Tracking Trend computer computer vision humanoid robot learning machine learning mobile robot perception robot robot vision robotics sensor sensors

Editors and affiliations

  • Danica Kragic
    • 1
  • Ville Kyrki
    • 2
  1. 1.CSC – CAS/ CVAPRoyal Institute of TechnologySweden
  2. 2.Department of Information TechnologyLappeenranta University of TechnologyFinland

Bibliographic information