Fusion of GPS and Structure-from-Motion Using Constrained Bundle Adjustments
Abstract
Two problems occur when bundle adjustment (BA) is applied on long image sequences: the large calculation time and the drift (or error accumulation). In recent work, the calculation time is reduced by local BAs applied in an incremental scheme. The drift may be reduced by fusion of GPS and Structure-from-Motion. An existing fusion method is BA minimizing a weighted sum of image and GPS errors. This paper introduces two constrained BAs for fusion, which enforce an upper bound for the reprojection error. These BAs are alternatives to the existing fusion BA, which does not guarantee a small reprojection error and requires a weight as input. Then the three fusion BAs are integrated in an incremental Structure-from-Motion method based on local BA. Lastly, we will compare the fusion results on a long monocular image sequence and a low cost GPS.
Cite
Text
Lhuillier. "Fusion of GPS and Structure-from-Motion Using Constrained Bundle Adjustments." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011. doi:10.1109/CVPR.2011.5995456Markdown
[Lhuillier. "Fusion of GPS and Structure-from-Motion Using Constrained Bundle Adjustments." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2011.](https://mlanthology.org/cvpr/2011/lhuillier2011cvpr-fusion/) doi:10.1109/CVPR.2011.5995456BibTeX
@inproceedings{lhuillier2011cvpr-fusion,
title = {{Fusion of GPS and Structure-from-Motion Using Constrained Bundle Adjustments}},
author = {Lhuillier, Maxime},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2011},
pages = {3025-3032},
doi = {10.1109/CVPR.2011.5995456},
url = {https://mlanthology.org/cvpr/2011/lhuillier2011cvpr-fusion/}
}