ITEA is the Eureka Cluster on software innovation
ITEA is the Eureka Cluster on software innovation
Dear visitor, please be informed that this is the ITEA staging environment. No actions here will be updated to production, feel free to test the system
ITEA 4 page header azure circular

Geo-localization by Image Retrieval

Project
15026 PS-CRIMSON
Type
New standard
Description
  • High geo-localization accuracy due to of advanced feature extraction by neural network
  • Robust to varying illumination conditions
Contact
Egor Bondarev
Email
e.bondarev@tue.nl
Technical features

Input(s):

  • Database of geotagged city/rural images
  • Query image for geolocalization

Main feature(s):

  • The component is able to detect the latitude and longitude of a taken photo with a mean accuracy of 7 meters

Output(s):

  • Latitude and longitude of the place from which the image was taken
Integration constraints
  • Requires geo-tagged image database of the region
  • Hardware: no
  • Software: no
Targeted customer(s)

CycloMedia, Police, emergency services, Research community (via open source).

Conditions for reuse

Licensing

Confidentiality
Public
Publication date
13-01-2020
Involved partners
Eindhoven University of Technology (NLD)