Large-Scale Visual Geo-Localization
Paperback Engels 2018 9783319798400Samenvatting
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.
Specificaties
Lezersrecensies
Inhoudsopgave
Large Scale Visual Geo-Localization<br>
Amir R. Zamir, Asaad Hakeem, Luc Van
Gool, Mubarak Shah, and Richard Szeliski</p>
<p>Part I: Data-Driven Geo-Localization</p>
<p>Discovering
Mid-Level Visual Connections in Space and Time<br>
Yong Jae Lee, Alexei A. Efros, and
Martial Hebert</p>
<p>Where the Photos
Were Taken: Location Prediction by Learning from Flickr Photos<br>
Li-Jia Li, Rahul Kumar Jha, Bart Thomee,
David Ayman Shamma, Liangliang Cao, and Yang Wang</p>
<p>Cross-View Image
Geo-Localization<br>
Tsung-Yi Lin, Serge Belongie, and James
Hays</p>
<p>Ultra-Wide
Baseline Facade Matching for Geo-Localization<br>
Mayank Bansal, Kostas Daniilidis, and
Harpreet Sawhney</p>
<p>Part II: Semantic Reasoning-Based Geo-Localization</p>
<p>Semantically Guided
Geo-Localization and Modeling in Urban Environments<br>
Gautam Singh and Jana Košecká</p>
<p>Recognizing
Landmarks in Large-Scale Social Image Collections<br>
David J. Crandall, Yunpeng Li, Stefan
Lee, and Daniel P. Huttenlocher</p>
<p>Part III: Geometric Matching-Based Geo-Localization</p>
<p>Worldwide Pose
Estimation Using 3D Point Clouds<br>
Yunpeng Li, Noah Snavely, Dan
Huttenlocher, and Pascal Fua</p>
<p>Exploiting
Spatial and Co-Visibility Relations for Image-Based Localization<br>
Torsten Sattler, Bastian Leibe, and Leif
Kobbelt</p>
<p><3D Point Cloud
Reduction Using Mixed-Integer Quadratic Programming<br>
Hyun Soo Park, Yu Wang, Eriko Nurvitadhi,
James C. Hoe, Yaser Sheikh, and Mei Chen</p>
<p>Image-Based
Large-Scale Geo-Localization in Mountainous Regions<br>
Olivier Saurer, Georges Baatz, Kevin
Köser, L’ubor Ladický, and Marc Pollefeys</p>
<p>Adaptive
Rendering for Large-Scale Skyline Characterization and Matching<br>
Jiejie Zhu, Mayank Bansal, Nick Vander
Valk, and Hui Cheng</p>
<p>User-Aided Geo-Localization
of Untagged Desert Imagery<br>
<Eric Tzeng, Andrew Zhai, Matthew
Clements, Raphael Townshend, and Avideh Zakhor</p>
<p>Visual Geo-Localization
of Non-Photographic Depictions via 2D-3D Alignment<br>
Mathieu Aubry, Bryan Russell, and Josef
Sivic</p>
<p>Part IV: Real-World Applications</p>
<p>A Memory
Efficient Discriminative Approach for Location-Aided Recognition<br>
Sudipta N. Sinha, Varsha Hedau, C. Lawrence
Zitnick, and Richard Szeliski</p>
<p>A Real-World
System for Image/Video Geo-Localization<br>
Himaanshu Gupta, Yi Chen, Minwoo Park,
Kiran Gunda, Gang Qian, Dave Conger, and Khurram Shafique</p>
<p>Photo Recall:
Using the Internet to Label Your Photos<br>
Neeraj Kumar and Steven Seitz</p>
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