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Large-scale visual geo-localization [electronic resource] / Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski, editors.

Zamir, Amir R. editor.; Hakeem, Asaad, editor.; Gool, Luc van, editor.; Shah, Mubarak, editor.; Szeliski, Richard, 1958- editor.
2016
G70.217.G46
Available Online
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Title
Large-scale visual geo-localization [electronic resource] / Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski, editors.
ISBN
9783319257815 (electronic book)
3319257811 (electronic book)
9783319257792
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xi, 351 pages) : illustrations.
Call Number
G70.217.G46
Dewey Decimal Classification
910.285
Summary
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 Presents contributions from the leading and most active researchers in the field from both academia and industry This invaluable text/reference is a must-read for all researchers interested in developing automatic methods for image geo-localization, whether for commercial, academic, or military domains. Professionals involved in computer vision, computer graphics, photogrammetry, computational optimization, geographic information systems, and other related disciplines, will also benefit from the detailed coverage of this emerging field.
Note
Includes index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed July 14, 2016).
Added Author
Zamir, Amir R. editor.
Hakeem, Asaad, editor.
Gool, Luc van, editor.
Shah, Mubarak, editor.
Szeliski, Richard, 1958- editor.
Series
Advances in computer vision and pattern recognition.
Linked Resources
Online Access
Record Appears in
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All Resources
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.

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