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Outdoor and Large-Scale Real-World Scene Analysis

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Cover of 'Outdoor and Large-Scale Real-World Scene Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Exploiting Pedestrian Interaction via Global Optimization and Social Behaviors
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    Chapter 2 An Evaluation Framework for Stereo-Based Driver Assistance
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    Chapter 3 Real-World Stereo-Analysis Evaluation
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    Chapter 4 Pyramid Transform and Scale-Space Analysis in Image Analysis
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    Chapter 5 Towards Feature-Based Situation Assessment for Airport Apron Video Surveillance
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    Chapter 6 Generalized Subgraph Preconditioners for Large-Scale Bundle Adjustment
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    Chapter 7 Outdoor and Large-Scale Real-World Scene Analysis
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    Chapter 8 Equi-affine Invariant Geometries of Articulated Objects
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    Chapter 9 Towards Fast Image-Based Localization on a City-Scale
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    Chapter 10 Perspective and Non-perspective Camera Models in Underwater Imaging – Overview and Error Analysis
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    Chapter 11 An Introduction to Random Forests for Multi-class Object Detection
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    Chapter 12 Segmentation and Classification of Objects with Implicit Scene Context
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    Chapter 13 Dense 3D Reconstruction from Wide Baseline Image Sets
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    Chapter 14 Data-Driven Manifolds for Outdoor Motion Capture
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    Chapter 15 On Performance Analysis of Optical Flow Algorithms
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    Chapter 16 Camera-Based Fall Detection on Real World Data
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    Chapter 17 Semantic Structure from Motion: A Novel Framework for Joint Object Recognition and 3D Reconstruction
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    Chapter 18 Hierarchical Surface Reconstruction from Multi-resolution Point Samples
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    Chapter 19 Traffic Observation and Situation Assessment
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Citations

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Chapter title
Outdoor and Large-Scale Real-World Scene Analysis
Chapter number 7
Book title
Outdoor and Large-Scale Real-World Scene Analysis
Published in
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-34091-8_7
Book ISBNs
978-3-64-234090-1, 978-3-64-234091-8
Authors

Frank Dellaert, Jan-Michael Frahm, Marc Pollefeys, Laura Leal-Taixé, Bodo Rosenhahn, Ioannis Brilakis, Fei Dai, Stefania-Christina Radopoulou, Brilakis, Ioannis, Dai, Fei, Radopoulou, Stefania-Christina

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 33%
Student > Master 4 17%
Researcher 3 13%
Student > Doctoral Student 2 8%
Student > Bachelor 2 8%
Other 3 13%
Unknown 2 8%
Readers by discipline Count As %
Engineering 14 58%
Computer Science 5 21%
Business, Management and Accounting 1 4%
Unknown 4 17%