Image Based Geolocalization

Image Based Geolocalization

Ongoing Project

Project Lead(s)


Synopsis

Image-based Geo-localization is a relatively new and challenging problem in Computer Vision. It is simply defined as: given a photo, where was it taken? In this project, we are interested in: 1) localizing a ground-level image with an aerial imagery gallery by cross-view image matching 2) designing a human-in-the-loop system to learn and match the geographically meaningful visual patterns for geolocalization 3) correspondence matching for images under ultra-wide baseline conditions.

Project Details

Non UCSD Vision People also Involved

James Hays