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Introduction to Large Scale Visual Geo-Localization
Amir R. Zamir, Asaad Hakeem, Luc Van Gool, Mubarak Shah, and Richard Szeliski
Part I: Data-Driven Geo-Localization
Discovering Mid-Level Visual Connections in Space and Time
Yong Jae Lee, Alexei A. Efros, and Martial Hebert
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, and Yang Wang
Cross-View Image Geo-Localization
Tsung-Yi Lin, Serge Belongie, and James Hays
Ultra-Wide Baseline Facade Matching for Geo-Localization
Mayank Bansal, Kostas Daniilidis, and Harpreet Sawhney
Part II: Semantic Reasoning-Based Geo-Localization
Semantically Guided Geo-Localization and Modeling in Urban Environments
Gautam Singh and Jana Košecká
Recognizing Landmarks in Large-Scale Social Image Collections
David J. Crandall, Yunpeng Li, Stefan Lee, and Daniel P. Huttenlocher
Part III: Geometric Matching-Based Geo-Localization
Worldwide Pose Estimation Using 3D Point Clouds
Yunpeng Li, Noah Snavely, Dan Huttenlocher, and Pascal Fua
Exploiting Spatial and Co-Visibility Relations for Image-Based Localization
Torsten Sattler, Bastian Leibe, and Leif Kobbelt
<3D Point Cloud Reduction Using Mixed-Integer Quadratic Programming
Hyun Soo Park, Yu Wang, Eriko Nurvitadhi, James C. Hoe, Yaser Sheikh, and Mei Chen
Image-Based Large-Scale Geo-Localization in Mountainous Regions
Olivier Saurer, Georges Baatz, Kevin Köser, L’ubor Ladický, and Marc Pollefeys
Adaptive Rendering for Large-Scale Skyline Characterization and Matching
Jiejie Zhu, Mayank Bansal, Nick Vander Valk, and Hui Cheng
User-Aided Geo-Localization of Untagged Desert Imagery
Visual Geo-Localization of Non-Photographic Depictions via 2D-3D Alignment
Mathieu Aubry, Bryan Russell, and Josef Sivic
Part IV: Real-World Applications
A Memory Efficient Discriminative Approach for Location-Aided Recognition
Sudipta N. Sinha, Varsha Hedau, C. Lawrence Zitnick, and Richard Szeliski
A Real-World System for Image/Video Geo-Localization
Himaanshu Gupta, Yi Chen, Minwoo Park, Kiran Gunda, Gang Qian, Dave Conger, and Khurram Shafique
Photo Recall: Using the Internet to Label Your Photos
Neeraj Kumar and Steven Seitz
Dr. Amir R. Zamir is a postdoctoral researcher at the Computer Science Department of Stanford University, CA, USA.
Dr. Asaad Hakeem is a Principal Research Scientist in the Machine Learning Division at Decisive Analytics Corporation, Arlington, VA, USA.
Dr. Luc Van Gool is a Full Professor and Head of the Computer Vision Lab at ETH Zurich, Switzerland, and the VISICS Computer Vision at KU Leuven, Belgium. His other publications include the Springer title Detection and Identification of Rare Audio-visual Cues.
Dr. Mubarak Shah is Agere Chair Professor and Director of the Center for Research in Computer Vision at the University of Central Florida, Orlando, FL, USA. He is the Series Editor of Springer’s International Series in Video Computing, and he served as an Editor-in-Chief of the Springer journal Machine Vision and Applications from 2004 to 2015.
Dr. Richard Szeliski is the Director and a founding member of the Computational Photography applied research group at Facebook, Seattle, WA, USA. He is also the author of the best-selling Springer textbook Computer Vision – Algorithms and Applications.
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