Large-Scale Visual Geo-Localization -

Large-Scale Visual Geo-Localization

Buch | Softcover
XI, 351 Seiten
2018 | 1. Softcover reprint of the original 1st ed. 2016
Springer International Publishing (Verlag)
978-3-319-79840-0 (ISBN)
90,94 inkl. MwSt
Thistimely and authoritative volume explores the bidirectional relationship betweenimages and locations. The text presents a comprehensive review of the state ofthe art in large-scale visual geo-localization, and discusses the emergingtrends in this area. Valuable insights are supplied by a pre-eminent selectionof experts in the field, into a varied range of real-world applications ofgeo-localization. Topics and features: discusses the latest methods to exploitinternet-scale image databases for devising geographically rich features andgeo-localizing query images at different scales; investigates geo-localizationtechniques that are built upon high-level and semantic cues; describes methodsthat perform precise localization by geometrically aligning the query imageagainst a 3D model; reviews techniques that accomplish image understandingassisted by the geo-location, as well as several approaches for geo-localizationunder practical, real-world settings.

Dr. Amir R. Zamir is a postdoctoral researcher at the Computer Science Department of Stanford University, CA, USA. Dr. Asaad Hakeem is a Principal Research Scientist in the Machine Learning Division at Decisive Analytics Corporation, Arlington, VA, USA. Dr. Luc Van Gool is a Full Professor and Head of the Computer Vision Lab at ETH Zurich, Switzerland, and the VISICS Computer Vision at KU Leuven, Belgium. His other publications include the Springer title Detection and Identification of Rare Audio-visual Cues. Dr. Mubarak Shah is Agere Chair Professor and Director of the Center for Research in Computer Vision at the University of Central Florida, Orlando, FL, USA. He is the Series Editor of Springer's International Series in Video Computing, and he served as an Editor-in-Chief of the Springer journal Machine Vision and Applications from 2004 to 2015.

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.

Erscheint lt. Verlag 31.5.2018
Reihe/Serie Advances in Computer Vision and Pattern Recognition
Zusatzinfo XI, 351 p. 152 illus., 7 illus. in color.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 6166 g
Themenwelt Informatik Grafik / Design Digitale Bildverarbeitung
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Naturwissenschaften Geowissenschaften Geografie / Kartografie
Schlagworte Context-based Reasoning of GIS and Geo-Reference D • 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 Image • Visual Indexing and Retrieval of Large-Scale Imagery
ISBN-10 3-319-79840-5 / 3319798405
ISBN-13 978-3-319-79840-0 / 9783319798400
Zustand Neuware
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