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  • Book
  • © 2016

Large-Scale Visual Geo-Localization

  • Presents in-depth insights from academic and industry leaders in the field
  • Describes analyses on real-world datasets from the military, government and academia
  • Provides the first extensive review of this emerging field, including discussion of state-of-the-art and potential future developments
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Computer Vision and Pattern Recognition (ACVPR)

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xi
  2. Introduction to Large-Scale Visual Geo-localization

    • Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski
    Pages 1-18
  3. Data-Driven Geo-localization

    1. Front Matter

      Pages 19-19
    2. Discovering Mid-level Visual Connections in Space and Time

      • Yong Jae Lee, Alexei A. Efros, Martial Hebert
      Pages 21-40
    3. Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos

      • Li-Jia Li, Rahul Kumar Jha, Bart Thomee, David Ayman Shamma, Liangliang Cao, Yang Wang
      Pages 41-58
    4. Cross-View Image Geo-localization

      • Tsung-Yi Lin, Serge Belongie, James Hays
      Pages 59-76
    5. Ultrawide Baseline Facade Matching for Geo-localization

      • Mayank Bansal, Kostas Daniilidis, Harpreet Sawhney
      Pages 77-98
  4. Semantic Reasoning Based Geo-localization

    1. Front Matter

      Pages 99-99
    2. Semantically Guided Geo-location and Modeling in Urban Environments

      • Gautam Singh, Jana Košecká
      Pages 101-120
    3. Recognizing Landmarks in Large-Scale Social Image Collections

      • David J. Crandall, Yunpeng Li, Stefan Lee, Daniel P. Huttenlocher
      Pages 121-144
  5. Geometric Matching Based Geo-localization

    1. Front Matter

      Pages 145-145
    2. Worldwide Pose Estimation Using 3D Point Clouds

      • Yunpeng Li, Noah Snavely, Daniel P. Huttenlocher, Pascal Fua
      Pages 147-163
    3. Exploiting Spatial and Co-visibility Relations for Image-Based Localization

      • Torsten Sattler, Bastian Leibe, Leif Kobbelt
      Pages 165-187
    4. 3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming

      • Hyun Soo Park, Yu Wang, Eriko Nurvitadhi, James C. Hoe, Yaser Sheikh, Mei Chen
      Pages 189-203
    5. Image-Based Large-Scale Geo-localization in Mountainous Regions

      • Olivier Saurer, Georges Baatz, Kevin Köser, L’ubor Ladický, Marc Pollefeys
      Pages 205-223
    6. Adaptive Rendering for Large-Scale Skyline Characterization and Matching

      • Jiejie Zhu, Mayank Bansal, Nick Vander Valk, Hui Cheng
      Pages 225-237
    7. User-Aided Geo-location of Untagged Desert Imagery

      • Eric Tzeng, Andrew Zhai, Matthew Clements, Raphael Townshend, Avideh Zakhor
      Pages 239-254
    8. Visual Geo-localization of Non-photographic Depictions via 2D–3D Alignment

      • Mathieu Aubry, Bryan Russell, Josef Sivic
      Pages 255-275
  6. Real-World Applications

    1. Front Matter

      Pages 277-277
    2. A Memory Efficient Discriminative Approach for Location-Aided Recognition

      • Sudipta N. Sinha, Varsha Hedau, C. Lawrence Zitnick, Richard Szeliski
      Pages 279-298

About this book

This timely and authoritative volume explores the bidirectional relationship between images and locations. The text presents a comprehensive review of the state of the art in large-scale visual geo-localization, and discusses the emerging trends in this area. Valuable insights are supplied by a pre-eminent selection of experts in the field, into a varied range of real-world applications of geo-localization. Topics and features: discusses the latest methods to exploit internet-scale image databases for devising geographically rich features and geo-localizing query images at different scales; investigates geo-localization techniques that are built upon high-level and semantic cues; describes methods that perform precise localization by geometrically aligning the query image against a 3D model; reviews techniques that accomplish image understanding assisted by the geo-location, as well as several approaches for geo-localization under practical, real-world settings.

Editors and Affiliations

  • Computer Science Department, Stanford University Computer Science Department, Stanford, USA

    Amir R. Zamir

  • Decisive Analytics Corporation, Arlington, USA

    Asaad Hakeem

  • ETH Zürich, Zürich, Switzerland

    Luc Van Gool

  • University of Central Florida, Orlando, USA

    Mubarak Shah

  • Facebook, Seattle, USA

    Richard Szeliski

About the editors

Dr. Amir R. Zamir is a postdoctoral researcher at the Computer Science Department of Stanford University, CA, USA.

Dr. Asaad Hakeem is a Principal Research Scientist in the Machine Learning Division at Decisive Analytics Corporation, Arlington, VA, USA.

Dr. Luc Van Gool is a Full Professor and Head of the Computer Vision Lab at ETH Zurich, Switzerland, and the VISICS Computer Vision at KU Leuven, Belgium. His other publications include the Springer title Detection and Identification of Rare Audio-visual Cues.

Dr. Mubarak Shah is Agere Chair Professor and Director of the Center for Research in Computer Vision at the University of Central Florida, Orlando, FL, USA. He is the Series Editor of Springer’s International Series in Video Computing, and he served as an Editor-in-Chief of the Springer journal Machine Vision and Applications from 2004 to 2015.

Dr. Richard Szeliski is the Director and a founding member of the Computational Photography applied research group at Facebook, Seattle, WA, USA. He is also the author of the best-selling Springer textbook Computer Vision – Algorithms and Applications.

Bibliographic Information

Buy it now

Buying options

eBook USD 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 129.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access