Geolocalization Using Skylines from Omni-Images
| Citation: |
Ramalingam, S.; Bouaziz, S.; Sturm, P.; Brand, M.E., "Geolocalization using Skylines from Omni-Images", IEEE International Conference on Computer Vision Workshops (ICCV), DOI: 10.1109/ICCVW.2009.5457723, pp. 23-30, September 2009 (IEEE Xplore) |
| MERL Report: | TR2009-067 |
We propose a novel method to accurately estimate the global position of a moving car using an omnidirectional camera and untextured 3D city models. The camera is oriented upwards to capture images of the immediate skyline, which is generally unique and serves as a fingerprint for a specific location in a city. Our goal is to estimate global position by matching skylines extracted from omni-directional images to skyline segments from coarse 3D city models. Our contributions include a sky segmentation algorithm for omni-directional images using graph cuts and a novel approach for matching omni-image skylines to 3D models.
