TR2009-067
Geolocalization Using Skylines from Omni-Images
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- "Geolocalization using Skylines from Omni-Images", IEEE International Conference on Computer Vision Workshops (ICCV), DOI: 10.1109/ICCVW.2009.5457723, September 2009, pp. 23-30.BibTeX TR2009-067 PDF
- @inproceedings{Ramalingam2009sep,
- author = {Ramalingam, S. and Bouaziz, S. and Sturm, P. and Brand, M.},
- title = {Geolocalization using Skylines from Omni-Images},
- booktitle = {IEEE International Conference on Computer Vision Workshops (ICCV)},
- year = 2009,
- pages = {23--30},
- month = sep,
- doi = {10.1109/ICCVW.2009.5457723},
- url = {https://www.merl.com/publications/TR2009-067}
- }
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- "Geolocalization using Skylines from Omni-Images", IEEE International Conference on Computer Vision Workshops (ICCV), DOI: 10.1109/ICCVW.2009.5457723, September 2009, pp. 23-30.
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MERL Contact:
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Research Area:
Abstract:
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.
Related News & Events
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NEWS ICCV 2009: publication by Matthew E. Brand, Srikumar Ramalingam and others Date: September 27, 2009
Where: IEEE International Conference on Computer Vision Workshops (ICCV)
MERL Contact: Matthew BrandBrief- The paper "Geolocalization using Skylines from Omni-Images" by Ramalingam, S., Bouaziz, S., Sturm, P. and Brand, M.E. was presented at the IEEE International Conference on Computer Vision Workshops (ICCV).