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