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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 / edited by Frank Dellaert, Jan-Michael Frahm, Marc Pollefeys, Laura Leal-Taixé, Bodo Rosenhahn.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Image processing, computer vision, pattern recognition, and graphics ; SL 6, 7474
- Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 7474
- Language:
- English
- Subjects (All):
- 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.
- Local Subjects:
- Computer Vision.
- Automated Pattern Recognition.
- Artificial Intelligence.
- Probability and Statistics in Computer Science.
- Computer and Information Systems Applications.
- Computer Science.
- Physical Description:
- 1 online resource (X, 443 pages) : 209 illustrations
- Edition:
- 1st ed. 2012.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-642-34091-8
- 9783642340918
- Access Restriction:
- Restricted for use by site license.
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