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Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski - Large-Scale Visual Geo-Localization, Häftad

Häftad, Engelska, 2018

Large-Scale Visual Geo-Localization

Av Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski

Del i serien Advances in Computer Vision and Pattern Recognition

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Beskrivning
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.
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Dr. Amir R. Zamir is a postdoctoral researcher at theComputer Science Department of Stanford University, CA, USA.Dr. Asaad Hakeem is a Principal Research Scientist in theMachine Learning Division at Decisive Analytics Corporation, Arlington, VA,USA.Dr. Luc Van Gool is a Full Professor and Head of theComputer Vision Lab at ETH Zurich, Switzerland, and the VISICS Computer Vision atKU Leuven, Belgium. His other publications include the Springer title Detectionand Identification of Rare Audio-visual Cues.Dr. Mubarak Shah is Agere Chair Professor and Director ofthe Center for Research in Computer Vision at the University of CentralFlorida, Orlando, FL, USA. He is the Series Editor of Springer’s InternationalSeries in Video Computing, and he served as an Editor-in-Chief of the Springerjournal Machine Vision and Applications from 2004 to 2015.Dr. Richard Szeliski is the Director and a founding memberof the Computational Photography applied research group at Facebook, Seattle,WA, USA. He is also the author of the best-selling Springer textbook ComputerVision – Algorithms and Applications.

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