Large-Scale Visual Geo-Localization
Springer International Publishing (Verlag)
978-3-319-25779-2 (ISBN)
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.
| Erscheinungsdatum | 03.05.2016 |
|---|---|
| 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 |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Naturwissenschaften ► Geowissenschaften ► Geografie / Kartografie | |
| Schlagworte | artificial intelligence (incl. robotics) • Computer Science • 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 • Geographical Information Systems/Cartography • Geolocalization and Mapping • Geometric Modeling and Reasoning • image processing and computer vision • pattern recognition • Visual Indexing and Retrieval of Large-Scale Image • Visual Indexing and Retrieval of Large-Scale Imagery |
| ISBN-10 | 3-319-25779-X / 331925779X |
| ISBN-13 | 978-3-319-25779-2 / 9783319257792 |
| Zustand | Neuware |
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