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 / edited by Frank Dellaert, Jan-Michael Frahm, Marc Pollefeys, Laura Leal-Taixé, Bodo Rosenhahn.
Material type: TextSeries: Lecture Notes in Computer Science ; 7474Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Description: X, 443 p. 209 illus. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783642340918Subject(s): Computer science | Artificial intelligence | Computer vision | Optical pattern recognition | Computer Science | Image Processing and Computer Vision | Pattern Recognition | Artificial Intelligence (incl. Robotics) | Probability and Statistics in Computer Science | Computer Applications | Computer Science, generalAdditional physical formats: Printed edition:: No titleDDC classification: 006.6 | 006.37 LOC classification: TA1637-1638TA1637-1638Online resources: Click here to access onlineCurrent library | Home library | Call number | Materials specified | URL | Status | Date due | Barcode |
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IMSc Library | IMSc Library | Link to resource | Available | EBK10557 |
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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