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Large-Scale Visual Geo-Localization. 1st ed. 2016
・ISBN 978-3-319-25779-2 hard EUR 119.99
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| 著者・編者 | Zamir, Amir R. / Hakeem, Asaad / Van Gool, Luc / Shah, Mubarak / Szeliski, Richard (eds.), |
|---|---|
| シリーズ | (Advances in Computer Vision and Pattern Recognition) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2016 |
| ページ数 | 351 pp. |
| 言語 | ENG |
| ニュース番号 | <A05-26662> |
解説
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.