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Produktbild: Outdoor and Large-Scale Real-World Scene Analysis
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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

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Beschreibung

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...

Beschreibung

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.

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.09.2012

Abbildungen

X, 443 p. 209 illus.

Herausgeber Frank Dellaert + weitere

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

20.09.2012

Abbildungen

X, 443 p. 209 illus.

Herausgeber
Verlag Springer Berlin
Seitenzahl

443

Maße (L/B/H)

23,5/15,5/2,5 cm

Gewicht

686 g

Auflage

2012

Sprache

Englisch

ISBN

978-3-642-34090-1

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Outdoor and Large-Scale Real-World Scene Analysis
  • 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.