Multimodal Vision Research Laboratory


back to funding overview.

WALDO: Wide Area Localization of Depicted Objects


This project addresses the problem of automatically estimating the geographic location of an image or video. I am leading the University of Kentucky component of a larger project that aims to build a complete system for this task. Our research focus is on using geometric and temporal constraints to improve accuracy and reduce computational costs and finding relationships between ground-level views and satellite imagery.

Additional Resources

Related Publication(s)

  1. PDF Zhai M, Workman S, Jacobs N. 2016. Camera Geo-Calibration using an MCMC Approach. In: IEEE International Conference on Image Processing (ICIP). DOI: 10.1109/ICIP.2016.7532905.
    bibtex | paper | doi
  2. PDF Workman S, Zhai M, Jacobs N. 2016. Horizon Lines in the Wild. In: British Machine Vision Conference (BMVC).
    bibtex | paper | website | code
  3. PDF Workman S, Souvenir R, Jacobs N. 2015. Wide-Area Image Geolocalization with Aerial Reference Imagery. In: IEEE International Conference on Computer Vision (ICCV). 1–9. DOI: 10.1109/ICCV.2015.451.
    bibtex | paper | website | doi | code
  4. PDF Workman S, Jacobs N. 2015. On the Location Dependence of Convolutional Neural Network Features. In: IEEE/ISPRS Workshop: Large Scale Computer Vision for Remote Sensing (EARTHVISION). 1–9. DOI: 10.1109/CVPRW.2015.7301385.
    bibtex | paper | doi
  5. PDF Workman S, Mihail RP, Jacobs N. 2014. A Pot of Gold: Rainbows as a Calibration Cue. In: European Conference on Computer Vision (ECCV). 820–835. DOI: 10.1007/978-3-319-10602-1_53.
    bibtex | paper | website | doi


The U.S. Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright annotation thereon. Disclaimer: The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of IARPA, AFRL, or the U.S. Government.