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Herausgeber: 
  • Mubarak Shah
  • Luc van Gool
  • Richard Szeliski
  • Asaad Hakeem
  • Amir R. Zamir
  • Large-Scale Visual Geo-Localization 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Mai 2018  
    Genre:  EDV / Informatik 
     
    Artificial Intelligence / Automated Pattern Recognition / B / computer science / Computer Vision / Geographical Information System / Geographical information systems / Geographical information systems & remote sensing
    ISBN:  9783319798400 
    EAN-Code: 
    9783319798400 
    Verlag:  Springer EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  Advances in Computer Vision and Pattern Recognition  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  6166 gr 
    Seiten:  351 
    Illustration:  XI, 351 p. 152 illus., 7 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    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
    • Presents contributions from the leading and most active researchers in the field from both academia and industry

    This invaluable text/reference is a must-read for all researchers interested in developing automatic methods for image geo-localization, whether for commercial, academic, or military domains. Professionals involved in computer vision, computer graphics, photogrammetry, computational optimization, geographic information systems, and other related disciplines, will also benefit from the detailed coverage of this emerging field.

      



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