Overview
- 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)
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Front Matter
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Semantic Reasoning Based Geo-localization
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Front Matter
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Geometric Matching Based Geo-localization
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Front Matter
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Real-World Applications
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Front Matter
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Keywords
About this book
Editors and Affiliations
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
Book Title: Large-Scale Visual Geo-Localization
Editors: Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski
Series Title: Advances in Computer Vision and Pattern Recognition
DOI: https://doi.org/10.1007/978-3-319-25781-5
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-25779-2Published: 19 July 2016
Softcover ISBN: 978-3-319-79840-0Published: 31 May 2018
eBook ISBN: 978-3-319-25781-5Published: 05 July 2016
Series ISSN: 2191-6586
Series E-ISSN: 2191-6594
Edition Number: 1
Number of Pages: XI, 351
Number of Illustrations: 145 b/w illustrations, 7 illustrations in colour
Topics: Image Processing and Computer Vision, Artificial Intelligence, Geographical Information Systems/Cartography, Pattern Recognition