Large-Scale Visual Geo-Localization
Aus der Reihe
Advances in Computer Vision and Pattern Recognition
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- Hardcover
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Form:Einzelkauf Download
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Sprache:Englisch
90,94 €
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Produktdetails
Format
Kopierschutz
Nein
Family Sharing
Nein
Text-to-Speech
Nein
Erscheinungsdatum
05.07.2016
Herausgeber
Amir R. Zamir + weitereVerlag
SpringerSeitenzahl
351 (Printausgabe)
Dateigröße
19216 KB
Auflage
1st ed. 2016
Sprache
Englisch
EAN
9783319257815
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.
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.
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