| Authors |
Irschara Arnold , Hoppe Christof, Bischof Horst, Stefan Kluckner |
| Appeared in |
Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Workshop on Aerial Video Processing |
| Date |
june 2011 |
| Abstract |
In this paper we present an approach that leverages prior information from global positioning systems
and inertial measurement units to speedup structure from motion computation. We propose a view
selection strategy that advances vocabulary tree based coarse matching by also considering the
geometric configuration between weakly oriented images. Furthermore, we introduce a fast and
scalable reconstruction approach that relies on global rotation registration and robust bundle
adjustment. Real world experiments are performed using data acquired by a micro aerial vehicle
attached with GPS/INS sensors. Our proposed algorithm achieves orientation results that are sub-pixel accurate and
the precision is on a par with results from incremental structure from motion approaches. Moreover, the method is scalable
and computationally more efficient than previous approaches. |
| Link |
PDF |
