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Large-Scale Visual Geo-Localization
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Large-Scale Visual Geo-Localization - nouveau livre

ISBN: 9783319257815

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 … Plus…

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Large-Scale Visual Geo-Localization (Advances in Computer Vision and Pattern Recognition) (English Edition) - Première édition

2016, ISBN: 9783319257815

Springer, Kindle Ausgabe, Auflage: 1st ed. 2016, 529 Seiten, Publiziert: 2016-07-05T00:00:00.000Z, Produktgruppe: Digital Ebook Purchas, Grafik & Multimedia, Computer & Internet, Kategori… Plus…

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Large-Scale Visual Geo-Localization (Advances in Computer Vision and Pattern Recognition) - Première édition

2016

ISBN: 9783319257815

Editor: Zamir, Amir R. Editor: Hakeem, Asaad, Editor: Van Gool, Luc, Editor: Shah, Mubarak, Editor: Szeliski, Richard, Springer, Kindle Edition, Auflage: 1st ed. 2016, 529 Seiten, Publizi… Plus…

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Large-scale Visual Geo-localization - livre d'occasion

ISBN: 9783319257815

A digital copy of "Large-scale Visual Geo-localization" by Zamir. Download is immediately available upon purchase! 9783319257815,3319257811,large-scale,visual,geo-localization eBook, Vit… Plus…

Download INSTANTLY! Format: VitalSource. Type: . Copying: Allowed, .2Â.36 selections may be copied daily for 2Â.365 days. Printable: Allowed, .2Â.36 prints daily for 2Â.365 days. Expires: No Expiration. Read Aloud?: Allowed. Sharing: Not Allowed. Software: Online: No additional software required <br> Offline: VitalSource Bookshelf. Shipping to USA only! Textbooks. Frais d'envoizzgl. Versandkosten., Livraison non-comprise
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Large-Scale Visual Geo-Localization - nouveau livre

ISBN: 9783319257815

; PDF; Scientific, Technical and Medical > Geography > Geographical information systems, Springer Berlin Heidelberg

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Large-Scale Visual Geo-Localization (Advances in Computer Vision and Pattern Recognition)
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9783319257815

Informations détaillées sur le livre - Large-Scale Visual Geo-Localization (Advances in Computer Vision and Pattern Recognition)


EAN (ISBN-13): 9783319257815
Date de parution: 2016
Editeur: Springer

Livre dans la base de données depuis 2016-08-08T13:39:32+02:00 (Zurich)
Page de détail modifiée en dernier sur 2023-10-14T12:59:54+02:00 (Zurich)
ISBN/EAN: 9783319257815

ISBN - Autres types d'écriture:
978-3-319-25781-5
Autres types d'écriture et termes associés:
Auteur du livre: sze, hake, shah, van gool
Titre du livre: geo, large scale

Données de l'éditeur

Auteur: Amir R. Zamir; Asaad Hakeem; Luc Van Gool; Mubarak Shah; Richard Szeliski
Titre: Advances in Computer Vision and Pattern Recognition; Large-Scale Visual Geo-Localization
Editeur: Springer; Springer International Publishing
351 Pages
Date de parution: 2016-07-05
Cham; CH
Langue: Anglais
90,94 € (DE)
93,50 € (AT)
100,50 CHF (CH)
Available
XI, 351 p. 152 illus., 7 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Informatik, EDV/Anwendungs-Software; Maschinelles Sehen, Bildverstehen; Verstehen; Context-based Reasoning of GIS and Geo-Reference Data; Data-Driven Discovery of Geo-Informative Features; Geolocalization and Mapping; Geometric Modeling and Reasoning; Visual Indexing and Retrieval of Large-Scale Imagery; B; Computer Vision; Artificial Intelligence; Geographical Information System; Automated Pattern Recognition; Computer Science; Künstliche Intelligenz; Geographische Informationssysteme (GIS) und Fernerkundung; Mustererkennung; BB

Introduction to Large Scale Visual Geo-Localization.- Part I: Data-Driven Geo-Localization.- Discovering Mid-Level Visual Connections in Space and Time.- Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos.- Cross-View Image Geo-Localization.- Ultra-Wide Baseline Facade Matching for Geo-Localization.- Part II: Semantic Reasoning-Based Geo-Localization.- Semantically Guided Geo-Localization and Modeling in Urban Environments.- Recognizing Landmarks in Large-Scale Social Image Collections.- Part III: Geometric Matching-Based Geo-Localization.- Worldwide Pose Estimation Using 3D Point Clouds.- Exploiting Spatial and Co-Visibility Relations for Image-Based Localization.- 3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming.- Image-Based Large-Scale Geo-Localization in Mountainous Regions.- Adaptive Rendering for Large-Scale Skyline Characterization and Matching.- User-Aided Geo-Localization of Untagged Desert Imagery.- Visual Geo-Localization of Non-Photographic Depictions via 2D-3D Alignment.- Part IV: Real-World Applications.- A Memory Efficient Discriminative Approach for Location-Aided Recognition.- A Real-World System for Image/Video Geo-Localization.- Photo Recall: Using the Internet to Label Your Photos.
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
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