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 / [electronic resource] :
edited by Frank Dellaert, Jan-Michael Frahm, Marc Pollefeys, Laura Leal-Taixé, Bodo Rosenhahn.
- 1st ed. 2012.
- X, 443 p. 209 illus. online resource.
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 7474 3004-9954 ; .
- Image Processing, Computer Vision, Pattern Recognition, and Graphics, 7474 .
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.
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.
9783642340918
10.1007/978-3-642-34091-8 doi
Computer vision. Pattern recognition systems. Artificial intelligence. Computer science--Mathematics. Mathematical statistics. Application software. Computer science. Computer Vision. Automated Pattern Recognition. Artificial Intelligence. Probability and Statistics in Computer Science. Computer and Information Systems Applications. Computer Science.