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.
by Dellaert, Frank [editor.]; Frahm, Jan-Michael [editor.]; Pollefeys, Marc [editor.]; Leal-Taixé, Laura [editor.]; Rosenhahn, Bodo [editor.]; SpringerLink (Online service).
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Item type | Current location | Call number | Status | Date due | Barcode |
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TA1637-1638 (Browse shelf) | Available | ||||
Long Loan | MAIN LIBRARY | TA1637-1638 (Browse shelf) | Available |
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GE1-350 Environmental Geoinformatics | QC319.8-338.5 The Application of the Chebyshev-Spectral Method in Transport Phenomena | TA1637-1638 Outdoor and Large-Scale Real-World Scene Analysis | TA1637-1638 Outdoor and Large-Scale Real-World Scene Analysis | R856-857 Sialo-Xenoantigenic Glycobiology | QA273.A1-274.9 Continuous-Time Markov Jump Linear Systems | QA274-274.9 Continuous-Time Markov Jump Linear Systems |
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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