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Large-Scale Visual Geo-Localization

Medium: Buch
ISBN: 978-3-319-79840-0
Verlag: Springer International Publishing
Erscheinungstermin: 31.05.2018
Lieferfrist: bis zu 10 Tage
This
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.

Produkteigenschaften


  • Artikelnummer: 9783319798400
  • Medium: Buch
  • ISBN: 978-3-319-79840-0
  • Verlag: Springer International Publishing
  • Erscheinungstermin: 31.05.2018
  • Sprache(n): Englisch
  • Auflage: Softcover Nachdruck of the original 1. Auflage 2016
  • Serie: Advances in Computer Vision and Pattern Recognition
  • Produktform: Kartoniert, Paperback
  • Gewicht: 6166 g
  • Seiten: 351
  • Format (B x H x T): 155 x 235 x 19 mm
  • Ausgabetyp: Kein, Unbekannt

Autoren/Hrsg.

Herausgeber

Zamir, Amir R.

Hakeem, Asaad

Szeliski, Richard

Van Gool, Luc

Shah, Mubarak

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.