The goal of image localization is to estimate the geographic location (or scene-relative location) of an image (or video). We worked on this problem for over 15 years, from a variety of perspectives. Our early work focused on localizing static outdoor cameras using temporal variations as a cue. More recent work has focused on the use of deep neural networks for single image localization, with a significant focus on exploiting overhead imagery for ground-level image localization.
See below for a list of our publications in this area. You can see an unfiltered list of our publications or lists filtered for the following research areas: astronomical imagery and data; camera calibration; LiDAR Processing; image localization; medical and biological imaging; image motion; remote sensing and mapping; social media; video surveillance and object tracking; timelapse imaging; transportation; and outdoor webcam imagery.