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Large-Scale Visual Geo-Localization (Advances in Computer Vision and Pattern Recognition) - Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski
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ISBN: 331925779X

[SR: 1412905], Hardcover, [EAN: 9783319257792], Springer, Springer, Book, [PU: Springer], Springer, 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., 280291, Intelligence & Semantics, 3887, AI & Machine Learning, 3508, Computer Science, 5, Computers & Technology, 1000, Subjects, 283155, Books, 132552011, Computer Vision & Pattern Recognition, 3887, AI & Machine Learning, 3508, Computer Science, 5, Computers & Technology, 1000, Subjects, 283155, Books, 4134, Graphics & Design, 4135, 3D Graphics, 10806600011, 3D Printing, 6133990011, Adobe, 4075, CAD, 227543, Computer Modelling, 4094, Desktop Publishing, 4097, Electronic Documents, 3937, Rendering & Ray Tracing, 4033, User Experience & Usability, 5, Computers & Technology, 1000, Subjects, 283155, Books, 3926, GIS, 3916, Graphics & Multimedia, 3839, Programming, 5, Computers & Technology, 1000, Subjects, 283155, Books, 13602, Geography, 16244611, Historic, 15959291, Information Systems, 15959301, Regional, 13592, Earth Sciences, 75, Science & Math, 1000, Subjects, 283155, Books, 491300, Artificial Intelligence, 468204, Computer Science, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books, 491308, Graphics & Visualization, 468204, Computer Science, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books, 491730, Earth Sciences, 468216, Science & Mathematics, 465600, New, Used & Rental Textbooks, 2349030011, Specialty Boutique, 283155, Books

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Large-Scale Visual Geolocalization - Amir Roshan Zamir
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2016, ISBN: 331925779X

ID: 19804123265

[EAN: 9783319257792], Neubuch, [PU: Springer-Verlag Gmbh Aug 2016], BILDBEARBEITUNG; BILDVERARBEITUNG; GRAFIK (EDV) / KARTOGRAFIE - KARTIERUNG; KARTOGRAPHIE; KARTIERUNG ( ); INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; AI; AI MUSTERERKENNUNG; COMPUTERS COMPUTER GRAPHICS, Neuware - 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. 351 pp. Englisch

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2016

ISBN: 331925779X

ID: 19804126959

[EAN: 9783319257792], Neubuch, [PU: Springer-Verlag Gmbh Aug 2016], BILDBEARBEITUNG; BILDVERARBEITUNG; GRAFIK (EDV) / KARTOGRAFIE - KARTIERUNG; KARTOGRAPHIE; KARTIERUNG ( ); INTELLIGENZ KÜNSTLICHE INTELLIGENZ; KI; AI; AI MUSTERERKENNUNG; COMPUTERS COMPUTER GRAPHICS, Neuware - 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. 351 pp. Englisch

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Large-Scale Visual Geo-Localization - Amir R. Zamir; Asaad Hakeem; Luc Van Gool; Mubarak Shah; Richard Szeliski
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Amir R. Zamir; Asaad Hakeem; Luc Van Gool; Mubarak Shah; Richard Szeliski:
Large-Scale Visual Geo-Localization - gebunden oder broschiert

2016, ISBN: 9783319257792

ID: 33266384

1st ed. 2016, Hardcover, Buch, [PU: Springer International Publishing]

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Details zum Buch
Large-Scale Visual Geolocalization (Advances in Computer Vision and Pattern Recognition)
Autor:

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

Titel:

Large-Scale Visual Geolocalization (Advances in Computer Vision and Pattern Recognition)

ISBN-Nummer:

9783319257792

Detailangaben zum Buch - Large-Scale Visual Geolocalization (Advances in Computer Vision and Pattern Recognition)


EAN (ISBN-13): 9783319257792
ISBN (ISBN-10): 331925779X
Gebundene Ausgabe
Erscheinungsjahr: 2016
Herausgeber: Springer

Buch in der Datenbank seit 18.10.2015 01:45:24
Buch zuletzt gefunden am 03.01.2017 14:22:53
ISBN/EAN: 9783319257792

ISBN - alternative Schreibweisen:
3-319-25779-X, 978-3-319-25779-2

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