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.
| ISBN: | 9783319257792 |
| Publication date: | 19th July 2016 |
| Author: | Amir R Zamir |
| Publisher: | Springer an imprint of Springer International Publishing |
| Format: | Hardback |
| Pagination: | 351 pages |
| Series: | Advances in Computer Vision and Pattern Recognition |
| Genres: |
Computer vision Pattern recognition Geographical information systems, geodata and remote sensing Artificial intelligence |
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.
Large-Scale Visual Geo-Localization features in the following genres: Computer vision, Pattern recognition, Geographical information systems, geodata and remote sensing, Artificial intelligence
Large-Scale Visual Geo-Localization is available in Hardback
Large-Scale Visual Geo-Localization was written by Amir R Zamir and published by Springer an imprint of Springer International Publishing
Large-Scale Visual Geo-Localization has 351 pages
Yes it is part of Advances in Computer Vision and Pattern Recognition series