Large-Scale Visual Geo-Localization
Springer | Image Processing | August 6, 2016 | ISBN-10: 331925779X | 352 pages | pdf | 18.24 mb
Editors: Zamir, A.R., Hakeem, A., Van Gool, L., Shah, M., Szeliski, R. (Eds.)
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

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.

Number of Illustrations and Tables
145 b/w illustrations, 7 illustrations in colour
Topics
Image Processing and Computer Vision
Artificial Intelligence (incl. Robotics)
Geographical Information Systems / Cartography
Pattern Recognition

Download File Size:40.68 KB

---