Geolocalization Using Skylines from Omni-Images
| Citation: |
Ramalingam, S.; Bouaziz, S.; Sturm, P.; Brand, M., "Geolocalization using Skylines from Omni-Images", IEEE Workshop on Search in 3D and Video (S3DV), September 2009 (S3DV 2009) |
| 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.
