9783319257792-331925779X-Large-Scale Visual Geo-Localization (Advances in Computer Vision and Pattern Recognition)

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

ISBN-13: 9783319257792
ISBN-10: 331925779X
Edition: 1st ed. 2016
Author: Richard Szeliski, Mubarak Shah, Luc Van Gool, Amir R. Zamir, Asaad Hakeem
Publication date: 2016
Publisher: Springer
Format: Hardcover 362 pages
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ISBN-13: 9783319257792
ISBN-10: 331925779X
Edition: 1st ed. 2016
Author: Richard Szeliski, Mubarak Shah, Luc Van Gool, Amir R. Zamir, Asaad Hakeem
Publication date: 2016
Publisher: Springer
Format: Hardcover 362 pages

Summary

Large-Scale Visual Geo-Localization (Advances in Computer Vision and Pattern Recognition) (ISBN-13: 9783319257792 and ISBN-10: 331925779X), written by authors Richard Szeliski, Mubarak Shah, Luc Van Gool, Amir R. Zamir, Asaad Hakeem, was published by Springer in 2016. With an overall rating of 4.4 stars, it's a notable title among other AI & Machine Learning (Computer Science) books. You can easily purchase or rent Large-Scale Visual Geo-Localization (Advances in Computer Vision and Pattern Recognition) (Hardcover) from BooksRun, along with many other new and used AI & Machine Learning books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.

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