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Large-Scale Visual Geo-Localization
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Large-Scale Visual Geo-Localization - nuovo livro

ISBN: 9783319257792

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 … mais…

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Large-Scale Visual Geo-Localization - Zamir, Amir R. (Herausgeber); Hakeem, Asaad (Herausgeber); Szeliski, Richard (Herausgeber); Shah, Mubarak (Herausgeber); Gool, Luc Van (Herausgeber)
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Zamir, Amir R. (Herausgeber); Hakeem, Asaad (Herausgeber); Szeliski, Richard (Herausgeber); Shah, Mubarak (Herausgeber); Gool, Luc Van (Herausgeber):

Large-Scale Visual Geo-Localization - encadernada, livro de bolso

2016, ISBN: 331925779X

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Large-Scale Visual Geo-Localization - Zamir, Amir R. Hakeem, Asaad Shah, Mubarak Gool, Luc van Szeliski, Richard
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Zamir, Amir R. Hakeem, Asaad Shah, Mubarak Gool, Luc van Szeliski, Richard:
Large-Scale Visual Geo-Localization - primeira edição

2016

ISBN: 9783319257792

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Large-Scale Visual Geo-Localization - Livro de bolso

2016, ISBN: 9783319257792

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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 - primeira edição

2016, ISBN: 9783319257792

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

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Large-Scale Visual Geo-Localization
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9783319257792


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.

Dados detalhados do livro - Large-Scale Visual Geo-Localization


EAN (ISBN-13): 9783319257792
ISBN (ISBN-10): 331925779X
Livro de capa dura
Livro de bolso
Ano de publicação: 2016
Editor/Editora: Springer International Publishing

Livro na base de dados desde 2015-10-17T20:45:24-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-04-07T17:55:05-03:00 (Sao Paulo)
Número ISBN/EAN: 9783319257792

Número ISBN - Ortografia alternativa:
3-319-25779-X, 978-3-319-25779-2
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: van gool, mubarak, sze, szeliski, hake, roshan, shah shah
Título do livro: visual, computer vision, geo, large scale

Dados da editora

Autor: Amir R. Zamir; Asaad Hakeem; Luc Van Gool; Mubarak Shah; Richard Szeliski
Título: Advances in Computer Vision and Pattern Recognition; Large-Scale Visual Geo-Localization
Editora: Springer; Springer International Publishing
351 Páginas
Ano de publicação: 2016-07-19
Cham; CH
Impresso / Feito em
Língua: Inglês
128,39 € (DE)
131,99 € (AT)
142,00 CHF (CH)
POD
XI, 351 p. 152 illus., 7 illus. in color.

BB; Hardcover, Softcover / 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; Computer Vision; Artificial Intelligence; Geographical Information System; Automated Pattern Recognition; Künstliche Intelligenz; Geographische Informationssysteme (GIS) und Fernerkundung; Mustererkennung; EA; BC

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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