Back to Search Start Over

Image and Object Geo-Localization.

Authors :
Wilson, Daniel
Zhang, Xiaohan
Sultani, Waqas
Wshah, Safwan
Source :
International Journal of Computer Vision. Apr2024, Vol. 132 Issue 4, p1350-1392. 43p.
Publication Year :
2024

Abstract

The concept of geo-localization broadly refers to the process of determining an entity's geographical location, typically in the form of Global Positioning System (GPS) coordinates. The entity of interest may be an image, a sequence of images, a video, a satellite image, or even objects visible within the image. Recently, massive datasets of GPS-tagged media have become available due to smartphones and the internet, and deep learning has risen to prominence and enhanced the performance capabilities of machine learning models. These developments have enabled the rise of image and object geo-localization, which has impacted a wide range of applications such as augmented reality, robotics, self-driving vehicles, road maintenance, and 3D reconstruction. This paper provides a comprehensive survey of visual geo-localization, which may involve either determining the location at which an image has been captured (image geo-localization) or geolocating objects within an image (object geo-localization). We will provide an in-depth study of visual geo-localization including a summary of popular algorithms, a description of proposed datasets, and an analysis of performance results to illustrate the current state of the field. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09205691
Volume :
132
Issue :
4
Database :
Academic Search Index
Journal :
International Journal of Computer Vision
Publication Type :
Academic Journal
Accession number :
176264595
Full Text :
https://doi.org/10.1007/s11263-023-01942-3