Large-Scale Visual Geo-Localization

Lieferzeit: Lieferbar innerhalb 14 Tagen

90,94 

Advances in Computer Vision and Pattern Recognition

ISBN: 3319798405
ISBN 13: 9783319798400
Herausgeber: Amir R Zamir/Asaad Hakeem/Luc Van Gool et al
Verlag: Springer Verlag GmbH
Umfang: xi, 351 S., 145 s/w Illustr., 7 farbige Illustr., 351 p. 152 illus., 7 illus. in color.
Erscheinungsdatum: 31.05.2018
Auflage: 1/2016
Produktform: Kartoniert
Einband: Kartoniert

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 geolocalization, 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 internetscale image databases for devising geographically rich features and geo-localizing query images at different scales Investigates geolocalization techniques that are built upon highlevel 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 geolocation, as well as several approaches for geolocalization 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 geolocalization, 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.

Artikelnummer: 5450016 Kategorie:

Beschreibung

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 geolocalization. Topics and features: discusses the latest methods to exploit internetscale image databases for devising geographically rich features and geolocalizing query images at different scales; investigates geolocalization 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.

Autorenporträt

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 Springers 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.

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