| Titre : |
Large-scale visual geo-localization |
| Type de document : |
texte imprimé |
| Auteurs : |
Amir R. Zamir, Éditeur scientifique ; Asaad Hakeem, Éditeur scientifique ; Luc Van Gool, Éditeur scientifique ; Mubarak Shah, Éditeur scientifique ; Richard Szeliski, Éditeur scientifique |
| Editeur : |
Cham : Springer International Publishing |
| Année de publication : |
2016 |
| Collection : |
Advances in Computer Vision and Pattern Recognition |
| Importance : |
1 vol. (XI-351 p.) |
| ISBN/ISSN/EAN : |
978-3-319-25779-2 |
| Langues : |
Anglais (eng) |
| Tags : |
Context-based Reasoning of GIS and Geo-Reference Data Data-Driven Discovery of Geo-Informative Features Geolocalization and Mapping Geometric Modeling and Reasoning Visual Indexing and Retrieval of Large-Scale Imagery |
| Résumé : |
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. |
| Note de contenu : |
Introduction to Large-Scale Visual Geo-localization
Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski
Pages 1-18
Data-Driven Geo-localization
Front Matter
Pages 19-19
Download chapter PDF
Discovering Mid-level Visual Connections in Space and Time
Yong Jae Lee, Alexei A. Efros, Martial Hebert
Pages 21-40
Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos
Li-Jia Li, Rahul Kumar Jha, Bart Thomee, David Ayman Shamma, Liangliang Cao, Yang Wang
Pages 41-58
Cross-View Image Geo-localization
Tsung-Yi Lin, Serge Belongie, James Hays
Pages 59-76
Ultrawide Baseline Facade Matching for Geo-localization
Mayank Bansal, Kostas Daniilidis, Harpreet Sawhney
Pages 77-98
Semantic Reasoning Based Geo-localization
Front Matter
Pages 99-99
Download chapter PDF
Semantically Guided Geo-location and Modeling in Urban Environments
Gautam Singh, Jana Košecká
Pages 101-120
Recognizing Landmarks in Large-Scale Social Image Collections
David J. Crandall, Yunpeng Li, Stefan Lee, Daniel P. Huttenlocher
Pages 121-144
Geometric Matching Based Geo-localization
Front Matter
Pages 145-145
Download chapter PDF
Worldwide Pose Estimation Using 3D Point Clouds
Yunpeng Li, Noah Snavely, Daniel P. Huttenlocher, Pascal Fua
Pages 147-163
Exploiting Spatial and Co-visibility Relations for Image-Based Localization
Torsten Sattler, Bastian Leibe, Leif Kobbelt
Pages 165-187
3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming
Hyun Soo Park, Yu Wang, Eriko Nurvitadhi, James C. Hoe, Yaser Sheikh, Mei Chen
Pages 189-203
Image-Based Large-Scale Geo-localization in Mountainous Regions
Olivier Saurer, Georges Baatz, Kevin Köser, L’ubor Ladický, Marc Pollefeys
Pages 205-223
Adaptive Rendering for Large-Scale Skyline Characterization and Matching
Jiejie Zhu, Mayank Bansal, Nick Vander Valk, Hui Cheng
Pages 225-237
User-Aided Geo-location of Untagged Desert Imagery
Eric Tzeng, Andrew Zhai, Matthew Clements, Raphael Townshend, Avideh Zakhor
Pages 239-254
Visual Geo-localization of Non-photographic Depictions via 2D–3D Alignment
Mathieu Aubry, Bryan Russell, Josef Sivic
Pages 255-275 |
| En ligne : |
http://link.springer.com/10.1007/978-3-319-25781-5 |
| Permalink : |
https://bibliotheque.map.cnrs.fr/index.php?lvl=notice_display&id=450 |
Large-scale visual geo-localization [texte imprimé] / Amir R. Zamir, Éditeur scientifique ; Asaad Hakeem, Éditeur scientifique ; Luc Van Gool, Éditeur scientifique ; Mubarak Shah, Éditeur scientifique ; Richard Szeliski, Éditeur scientifique . - Cham : Springer International Publishing, 2016 . - 1 vol. (XI-351 p.). - ( Advances in Computer Vision and Pattern Recognition) . ISBN : 978-3-319-25779-2 Langues : Anglais ( eng)
| Tags : |
Context-based Reasoning of GIS and Geo-Reference Data Data-Driven Discovery of Geo-Informative Features Geolocalization and Mapping Geometric Modeling and Reasoning Visual Indexing and Retrieval of Large-Scale Imagery |
| Résumé : |
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. |
| Note de contenu : |
Introduction to Large-Scale Visual Geo-localization
Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, Richard Szeliski
Pages 1-18
Data-Driven Geo-localization
Front Matter
Pages 19-19
Download chapter PDF
Discovering Mid-level Visual Connections in Space and Time
Yong Jae Lee, Alexei A. Efros, Martial Hebert
Pages 21-40
Where the Photos Were Taken: Location Prediction by Learning from Flickr Photos
Li-Jia Li, Rahul Kumar Jha, Bart Thomee, David Ayman Shamma, Liangliang Cao, Yang Wang
Pages 41-58
Cross-View Image Geo-localization
Tsung-Yi Lin, Serge Belongie, James Hays
Pages 59-76
Ultrawide Baseline Facade Matching for Geo-localization
Mayank Bansal, Kostas Daniilidis, Harpreet Sawhney
Pages 77-98
Semantic Reasoning Based Geo-localization
Front Matter
Pages 99-99
Download chapter PDF
Semantically Guided Geo-location and Modeling in Urban Environments
Gautam Singh, Jana Košecká
Pages 101-120
Recognizing Landmarks in Large-Scale Social Image Collections
David J. Crandall, Yunpeng Li, Stefan Lee, Daniel P. Huttenlocher
Pages 121-144
Geometric Matching Based Geo-localization
Front Matter
Pages 145-145
Download chapter PDF
Worldwide Pose Estimation Using 3D Point Clouds
Yunpeng Li, Noah Snavely, Daniel P. Huttenlocher, Pascal Fua
Pages 147-163
Exploiting Spatial and Co-visibility Relations for Image-Based Localization
Torsten Sattler, Bastian Leibe, Leif Kobbelt
Pages 165-187
3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming
Hyun Soo Park, Yu Wang, Eriko Nurvitadhi, James C. Hoe, Yaser Sheikh, Mei Chen
Pages 189-203
Image-Based Large-Scale Geo-localization in Mountainous Regions
Olivier Saurer, Georges Baatz, Kevin Köser, L’ubor Ladický, Marc Pollefeys
Pages 205-223
Adaptive Rendering for Large-Scale Skyline Characterization and Matching
Jiejie Zhu, Mayank Bansal, Nick Vander Valk, Hui Cheng
Pages 225-237
User-Aided Geo-location of Untagged Desert Imagery
Eric Tzeng, Andrew Zhai, Matthew Clements, Raphael Townshend, Avideh Zakhor
Pages 239-254
Visual Geo-localization of Non-photographic Depictions via 2D–3D Alignment
Mathieu Aubry, Bryan Russell, Josef Sivic
Pages 255-275 |
| En ligne : |
http://link.springer.com/10.1007/978-3-319-25781-5 |
| Permalink : |
https://bibliotheque.map.cnrs.fr/index.php?lvl=notice_display&id=450 |
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