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Large-Scale Visual Geo-Localization de Amir R. Zamir

Large-Scale Visual Geo-Localization: Advances in Computer Vision and Pattern Recognition

Editat de Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski
en Limba Engleză Hardback – 19 iul 2016
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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Specificații

ISBN-13: 9783319257792
ISBN-10: 331925779X
Pagini: 356
Ilustrații: XI, 351 p. 152 illus., 7 illus. in color.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2016
Editura: Springer International Publishing
Colecția Springer
Seria Advances in Computer Vision and Pattern Recognition

Locul publicării:Cham, Switzerland

Public țintă

Research

Cuprins

Introduction to Large Scale Visual Geo-Localization.- Part I: Data-Driven Geo-Localization.- Discovering Mid-Level Visual Connections in Space and Time.- Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos.- Cross-View Image Geo-Localization.- Ultra-Wide Baseline Facade Matching for Geo-Localization.- Part II: Semantic Reasoning-Based Geo-Localization.- Semantically Guided Geo-Localization and Modeling in Urban Environments.- Recognizing Landmarks in Large-Scale Social Image Collections.- Part III: Geometric Matching-Based Geo-Localization.- Worldwide Pose Estimation Using 3D Point Clouds.- Exploiting Spatial and Co-Visibility Relations for Image-Based Localization.- 3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming.- Image-Based Large-Scale Geo-Localization in Mountainous Regions.- Adaptive Rendering for Large-Scale Skyline Characterization and Matching.- User-Aided Geo-Localization of Untagged Desert Imagery.- Visual Geo-Localization of Non-Photographic Depictions via 2D-3D Alignment.- Part IV: Real-World Applications.- A Memory Efficient Discriminative Approach for Location-Aided Recognition.- A Real-World System for Image/Video Geo-Localization.- Photo Recall: Using the Internet to Label Your Photos.

Notă biografică

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.

Textul de pe ultima copertă

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.

Caracteristici

Presents in-depth insights from academic and industry leaders in the field Describes analyses on real-world datasets from the military, government and academia Provides the first extensive review of this emerging field, including discussion of state-of-the-art and potential future developments Includes supplementary material: sn.pub/extras