Publication detail

State-of-the-art in Visual Geo-localization

BREJCHA, J. ČADÍK, M.

Original Title

State-of-the-art in Visual Geo-localization

Type

journal article in Web of Science

Language

English

Original Abstract

Large-scale visual geo-localization has recently gained a lot of attention in computer vision research and new methods are proposed steadily. However, surveys of visual geo-localization methods are rare and they focus mainly on city-scale localization methods. We present a comprehensive and balanced study of existing visual geo-localization domains, including city-scale, global approaches and methods for natural environments. We overview the methods to show their pros and cons, application domains, datasets, as well as evaluation techniques. We categorize the reviewed methods by two criteria. The first is the type of data the method uses for geo-location estimation. The second criterion is the target environment for which the method has been proposed and validated. Based on this categorization we analyze important conditions that must be considered while solving geo-localization problems. Each category is in a different state of research - while city-scale image-based methods received a lot of attention, other categories like natural environments using cross-domain data sources are still challenging problems under active research. Future research of large-scale visual geo-localization is discussed, primarily the challenging and new research category - geo-localization in natural environments.

Keywords

visual geo-localization, city-scale localization, natural environments, image geolocation, visual odometry, geo-tagging, image to model registration, 3D alignment, cross-domain registration, extrinsic calibration, 6DOF

Authors

BREJCHA, J.; ČADÍK, M.

Released

16. 3. 2017

ISBN

1433-7541

Periodical

PATTERN ANALYSIS AND APPLICATIONS

Year of study

2017

Number

3

State

United Kingdom of Great Britain and Northern Ireland

Pages from

1

Pages to

25

Pages count

25

URL

http://cadik.posvete.cz/papers/brejcha-cadik17geolocalization_methods_survey.pdf

BibTex

@article{BUT134468,
  author="Jan {Brejcha} and Martin {Čadík}",
  title="State-of-the-art in Visual Geo-localization",
  journal="PATTERN ANALYSIS AND APPLICATIONS",
  year="2017",
  volume="2017",
  number="3",
  pages="1--25",
  doi="10.1007/s10044-017-0611-1",
  issn="1433-7541",
  url="http://cadik.posvete.cz/papers/brejcha-cadik17geolocalization_methods_survey.pdf"
}