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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
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Condizione: Very Good. Very Good+; Hardcover; Very light wear to the covers; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; The binding is excellent with a straight spine; This book will be shipped in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Blue and gray covers with title in white lettering; 2016, Springer-Verlag Publishing; 351 pages; "Large-Scale Visual Geo-Localization (Advances in Computer Vision and Pattern Recognition)," by Amir R. Zamir, et al. Codice articolo SKU-040AP03805011
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Condizione: Like New. Like New; Hardcover; Close to new condition; Covers are still glossy with "straight" edge-corners; Unblemished textblock edges; The endpapers and all text pages are bright and unmarked; Binding is tight with a straight spine; This book will be stored and delivered in a sturdy cardboard box with foam padding; Medium Format (8.5" - 9.75" tall); Blue and gray covers with title in white lettering; 2016, Springer-Verlag Publishing; 351 pages; "Large-Scale Visual Geo-Localization (Advances in Computer Vision and Pattern Recognition)," by Amir R. Zamir, et al. Codice articolo SKU-681AG01106230
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 364 pp. Englisch. Codice articolo 9783319257792
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Codice articolo 9783319257792
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Gebunden. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents in-depth insights from academic and industry leaders in the fieldDescribes analyses on real-world datasets from the military, government and academiaProvides the first extensive review of this emerging field, including discussion o. Codice articolo 74745200
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