Outdoor and Large-Scale Real-World Scene Analysis [electronic resource] : 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26 - July 1, 2011. Revised Selected Papers /
Material type: TextSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 7474Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Edition: 1st ed. 2012Description: X, 443 p. 209 illus. online resourceContent type:- text
- computer
- online resource
- 9783642340918
- 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
- 006.37 23
- TA1634
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.
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