Description |
1 online resource : illustrations (some color) |
Series |
Lecture notes in computer science, 0302-9743 ; 7474 |
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition and graphics |
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Lecture notes in computer science ; 7474.
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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Contents |
Exploiting Pedestrian Interaction via Global Optimization and Social Behaviors / Laura Leal-Taixé, Gerard Pons-Moll and Bodo Rosenhahn -- An Evaluation Framework for Stereo-Based Driver Assistance / Nicolai Schneider, Stefan Gehrig, David Pfeiffer and Konstantinos Banitsas -- Real-World Stereo-Analysis Evaluation / Sandino Morales, Simon Hermann and Reinhard Klette -- Pyramid Transform and Scale-Space Analysis in Image Analysis / Yoshihiko Mochizuki and Atsushi Imiya -- Towards Feature-Based Situation Assessment for Airport Apron Video Surveillance / Ralf Dragon, Michele Fenzi, Wolf Siberski, Bodo Rosenhahn and Jörn Ostermann -- Generalized Subgraph Preconditioners for Large-Scale Bundle Adjustment / Yong-Dian Jian, Doru C. Balcan and Frank Dellaert -- Achievements and Challenges in Recognizing and Reconstructing Civil Infrastructure / Ioannis Brilakis, Fei Dai and Stefania-Christina Radopoulou -- Equi-affine Invariant Geometries of Articulated Objects / Dan Raviv, Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel and Nir Sochen -- Towards Fast Image-Based Localization on a City-Scale / Torsten Sattler, Bastian Leibe and Leif Kobbelt -- Perspective and Non-perspective Camera Models in Underwater Imaging -- Overview and Error Analysis / Anne Sedlazeck and Reinhard Koch -- An Introduction to Random Forests for Multi-class Object Detection / Juergen Gall, Nima Razavi and Luc Van Gool -- Segmentation and Classification of Objects with Implicit Scene Context / Jan D. Wegner, Bodo Rosenhahn and Uwe Sörgel -- Dense 3D Reconstruction from Wide Baseline Image Sets / Helmut Mayer, Jan Bartelsen, Heiko Hirschmüller and Andreas Kuhn -- Data-Driven Manifolds for Outdoor Motion Capture / Gerard Pons-Moll, Laura Leal-Taixé, Juergen Gall and Bodo Rosenhahn -- On Performance Analysis of Optical Flow Algorithms / Daniel Kondermann, Steffen Abraham, Gabriel Brostow, Wolfgang Förstner and Stefan Gehrig, et al. -- Camera-Based Fall Detection on Real World Data / Glen Debard, Peter Karsmakers, Mieke Deschodt, Ellen Vlaeyen and Eddy Dejaeger, et al. -- Semantic Structure from Motion: A Novel Framework for Joint Object Recognition and 3D Reconstruction / Sid Yingze Bao and Silvio Savarese -- Hierarchical Surface Reconstruction from Multi-resolution Point Samples / Ronny Klowsky, Patrick Mücke and Michael Goesele -- Traffic Observation and Situation Assessment / Ralf Reulke, Dominik Rueß, Kristian Manthey and Andreas Luber |
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 |
Analysis |
Computer science |
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Artificial intelligence |
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Computer vision |
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Optical pattern recognition |
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Image Processing and Computer Vision |
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Probability and Statistics in Computer Science |
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Computer Applications |
Bibliography |
Includes bibliographical references and author index |
Subject |
Computer vision -- Congresses
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Informatique.
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Computer vision
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Dellaert, Frank
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ISBN |
9783642340918 |
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3642340911 |
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3642340903 |
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9783642340901 |
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