| 书目名称 | Large-Scale Visual Geo-Localization |
| 编辑 | Amir R. Zamir,Asaad Hakeem,Richard Szeliski |
| 视频video | http://file.papertrans.cn/582/581425/581425.mp4 |
| 概述 | 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 t |
| 丛书名称 | Advances in Computer Vision and Pattern Recognition |
| 图书封面 |  |
| 描述 | Thistimely and authoritative volume explores the bidirectional relationship betweenimages and locations. The text presents a comprehensive review of the state ofthe art in large-scale visual geo-localization, and discusses the emergingtrends in this area. Valuable insights are supplied by a pre-eminent selectionof experts in the field, into a varied range of real-world applications ofgeo-localization. Topics and features: discusses the latest methods to exploitinternet-scale image databases for devising geographically rich features andgeo-localizing query images at different scales; investigates geo-localizationtechniques that are built upon high-level and semantic cues; describes methodsthat perform precise localization by geometrically aligning the query imageagainst a 3D model; reviews techniques that accomplish image understandingassisted by the geo-location, as well as several approaches for geo-localizationunder practical, real-world settings. |
| 出版日期 | Book 2016 |
| 关键词 | Context-based Reasoning of GIS and Geo-Reference Data; Data-Driven Discovery of Geo-Informative Featu |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-25781-5 |
| isbn_softcover | 978-3-319-79840-0 |
| isbn_ebook | 978-3-319-25781-5Series ISSN 2191-6586 Series E-ISSN 2191-6594 |
| issn_series | 2191-6586 |
| copyright | Springer International Publishing Switzerland 2016 |
|Archiver|手机版|小黑屋|
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