Produktbild: Large-Scale Visual Geo-Localization

Large-Scale Visual Geo-Localization

84,99 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.05.2018

Abbildungen

XI, 152 illus., 7 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Amir R. Zamir + weitere

Verlag

Springer

Seitenzahl

351

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

618 g

Auflage

Softcover reprint of the original 1st edition 2016

Sprache

Englisch

ISBN

978-3-319-79840-0

Beschreibung

Portrait

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 .

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.05.2018

Abbildungen

XI, 152 illus., 7 illus. in color., farbige Illustrationen, schwarz-weiss Illustrationen

Herausgeber

Verlag

Springer

Seitenzahl

351

Maße (L/B/H)

23,5/15,5/1,9 cm

Gewicht

618 g

Auflage

Softcover reprint of the original 1st edition 2016

Sprache

Englisch

ISBN

978-3-319-79840-0

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: ProductSafety@springernature.com

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  • Produktbild: Large-Scale Visual Geo-Localization
  • 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