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Large-Scale Visual Geo-Localization

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-...

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Corporate Author: SpringerLink (Online service)
Other Authors: Zamir, Amir R. (Editor, http://id.loc.gov/vocabulary/relators/edt), Hakeem, Asaad. (Editor, http://id.loc.gov/vocabulary/relators/edt), Van Gool, Luc. (Editor, http://id.loc.gov/vocabulary/relators/edt), Shah, Mubarak. (Editor, http://id.loc.gov/vocabulary/relators/edt), Szeliski, Richard. (Editor, http://id.loc.gov/vocabulary/relators/edt)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:Advances in Computer Vision and Pattern Recognition,
Subjects:
Optical data processing.
Artificial intelligence.
Geographical information systems.
Pattern recognition.
Image Processing and Computer Vision.
Artificial Intelligence.
Geographical Information Systems/Cartography.
Pattern Recognition.
Online Access:https://doi.org/10.1007/978-3-319-25781-5

Internet

https://doi.org/10.1007/978-3-319-25781-5

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