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.
Series
Edition
Language
Place of publication
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Research
Illustrations
145 s/w Abbildungen, 7 farbige Abbildungen
XI, 351 p. 152 illus., 7 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 24 mm
Weight
ISBN-13
978-3-319-25779-2 (9783319257792)
DOI
10.1007/978-3-319-25781-5
Schweitzer Classification
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.
Dr. Richard Szeliski
is the Director and a founding member
of the Computational Photography applied research group at Facebook, Seattle,
WA, USA. He is also the author of the best-selling Springer textbook
Computer
Vision - Algorithms and Applications
.
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.
