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Large-Scale Visual Geo-Localization

Large-Scale Visual Geo-Localization (Hardback)

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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.

Computing & ITComputer scienceArtificial intelligenceComputer visionComputing & ITComputer scienceArtificial intelligencePattern recognitionComputing & ITComputer scienceImage processingScience & MathematicsGeographyGIS Geographical information systems & remote sensing Publisher: Springer International Publishing AG Publication Date: 06/07/2016 ISBN-13: 9783319257792  Details: Type: Hardback Format: Books
Availability: Printed to order. Despatched in 2-3 weeks.  

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.

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