
Outdoor and Large-Scale Real-World Scene Analysis
15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers
Springer (Publisher)
Published on 20. September 2012
Book
Paperback/Softback
X, 443 pages
978-3-642-34090-1 (ISBN)
Description
This book constitutes the thoroughly refereed post-proceedings of the 15th International Workshop on Theoretic Foundations of Computer Vision, held as a Dagstuhl Seminar in Dagstuhl Castle, Germany, in June/July 2011. The 19 revised full papers presented were carefully reviewed and selected after a blind peer-review process. The topic of this Workshop was Outdoor and Large-Scale Real-World Scene Analysis, which covers all aspects, applications and open problems regarding the performance or design of computer vision algorithms capable of working in outdoor setups and/or large-scale environments. Developing these methods is important for driver assistance, city modeling and reconstruction, virtual tourism, telepresence, and motion capture.
More details
Series
Edition
2012 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
209 s/w Abbildungen
X, 443 p. 209 illus.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 25 mm
Weight
686 gr
ISBN-13
978-3-642-34090-1 (9783642340901)
DOI
10.1007/978-3-642-34091-8
Schweitzer Classification
Other editions
Additional editions

Frank Dellaert | Jan-Michael Frahm | Marc Pollefeys
Outdoor and Large-Scale Real-World Scene Analysis
15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers
E-Book
09/2012
Springer
€53.49
Available for download
Content
Outdoor and Large-Scale Real-World Scene Analysis, which covers all aspects.- Applications and open problems regarding the performance or design of computer vision algorithms capable of working in outdoor setups and/or large-scale environments.- Developing these methods is important for driver assistance.- City modeling and reconstruction.- Virtual tourism.- Telepresence.- Motion capture.