TY  - BOOK
AU  - Dellaert,Frank
AU  - Frahm,Jan-Michael
AU  - Pollefeys,Marc
AU  - Leal-Taixé,Laura
AU  - Rosenhahn,Bodo
ED  - SpringerLink (Online service)
TI  - 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 
T2  - Lecture Notes in Computer Science,
SN  - 9783642340918
AV  - TA1637-1638 
U1  - 006.6 23
PY  - 2012///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - Computer science
KW  - Artificial intelligence
KW  - Computer vision
KW  - Optical pattern recognition
KW  - Computer Science
KW  - Image Processing and Computer Vision
KW  - Pattern Recognition
KW  - Artificial Intelligence (incl. Robotics)
KW  - Probability and Statistics in Computer Science
KW  - Computer Applications
KW  - Computer Science, general
N1  - 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
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-642-34091-8
ER  -