Bienvenue chez nous !
Logo Ex Libris
 Laissez-vous inspirer ! 

Large-Scale Visual Geo-Localization

  • Livre Relié
  • 351 Nombre de pages
(0) Donner la première évaluation
Afficher toutes les évaluations
This timely and authoritative volume explores the bidirectional relationship between images and locations. The text presents a com... Lire la suite
CHF 150.00
Impression sur demande - l'exemplaire sera recherché pour vous.
Pas de droit de retour !
Commande avec livraison dans une succursale


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.

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 this emerging field, including discussion of state-of-the-art and potential future developments


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.

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 Koecká 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

Informations sur le produit

Titre: Large-Scale Visual Geo-Localization
Code EAN: 9783319257792
ISBN: 978-3-319-25779-2
Format: Livre Relié
Editeur: Springer, Berlin
Genre: Informatique
nombre de pages: 351
Poids: g
Taille: H23mm x B242mm x T168mm
Année: 2016
Auflage: 1st ed. 2016

Autres articles de cette série  "Advances in Computer Vision and Pattern Recognition"