Large-scale Visual Geolocalization - Rilegato

Rilegato

ISBN 10: 331925779X ISBN 13: 9783319257792

Casa editrice: Springer-Nature New York Inc, 2016

Riassunto

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.

Su questo libro

Informazioni sull?autore

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.

Dalla quarta di copertina

This timely and authoritative volume explores thebidirectional relationship between images and locations. The text presents acomprehensive review of the state of the art in large-scale visualgeo-localization, and discusses the emerging trends in this area. Valuableinsights are supplied by a pre-eminent selection of experts in the field, intoa varied range of real-world applications of geo-localization.

Topics and features:

• Discusses the latest methods to exploit internet-scale imagedatabases for devising geographically rich features and geo-localizing queryimages at different scales
  
• Investigates geo-localization techniques that are built uponhigh-level and semantic cues
  
• Describes methods that perform precise localization bygeometrically aligning the query image against a 3D model
  
• Reviews techniques that accomplish image understanding assistedby the geo-location, as well as several approaches for geo-localization underpractical, real-world settings
  
• Presents contributions from the leading and most activeresearchers in the field from both academia and industry
  

This invaluable text/reference is a must-read for allresearchers interested in developing automatic methods for imagegeo-localization, whether for commercial, academic, or military domains.Professionals involved in computer vision, computer graphics, photogrammetry,computational optimization, geographic information systems, and other relateddisciplines, will also benefit from the detailed coverage of this emergingfield.

Dettagli dell?edizione

• Editore: Springer-Nature New York Inc
• Data di pubblicazione: 2016
• ISBN 10: 331925779X
• ISBN 13: 9783319257792
• Rilegatura: Copertina rigida
• Lingua: Inglese
• Numero edizione: 1
• Numero di pagine: 364
• Redattore: Zamir Amir Roshan, Hakeem Asaad, Shah Mubarak, Van Gool Luc, Szeliski Richard
• Contatto del produttore: non disponibile