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Large-Scale Visual Geo-Localization

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Cover of 'Large-Scale Visual Geo-Localization'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Introduction to Large-Scale Visual Geo-localization
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    Chapter 2 Discovering Mid-level Visual Connections in Space and Time
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    Chapter 3 Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos
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    Chapter 4 Cross-View Image Geo-localization
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    Chapter 5 Ultrawide Baseline Facade Matching for Geo-localization
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    Chapter 6 Semantically Guided Geo-location and Modeling in Urban Environments
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    Chapter 7 Recognizing Landmarks in Large-Scale Social Image Collections
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    Chapter 8 Worldwide Pose Estimation Using 3D Point Clouds
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    Chapter 9 Exploiting Spatial and Co-visibility Relations for Image-Based Localization
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    Chapter 10 3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming
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    Chapter 11 Image-Based Large-Scale Geo-localization in Mountainous Regions
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    Chapter 12 Adaptive Rendering for Large-Scale Skyline Characterization and Matching
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    Chapter 13 User-Aided Geo-location of Untagged Desert Imagery
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    Chapter 14 Visual Geo-localization of Non-photographic Depictions via 2D–3D Alignment
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    Chapter 15 A Memory Efficient Discriminative Approach for Location-Aided Recognition
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    Chapter 16 A Real-World System for Image/Video Geo-localization
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    Chapter 17 Photo Recall: Using the Internet to Label Your Photos
Attention for Chapter 6: Semantically Guided Geo-location and Modeling in Urban Environments
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Chapter title
Semantically Guided Geo-location and Modeling in Urban Environments
Chapter number 6
Book title
Large-Scale Visual Geo-Localization
Published by
Springer International Publishing, July 2016
DOI 10.1007/978-3-319-25781-5_6
Book ISBNs
978-3-31-925779-2, 978-3-31-925781-5
Authors

Gautam Singh, Jana Košecká

Editors

Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski

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 %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 4%
Researcher 1 4%
Student > Postgraduate 1 4%
Student > Doctoral Student 1 4%
Unknown 20 83%
Readers by discipline Count As %
Computer Science 2 8%
Engineering 1 4%
Unknown 21 88%