ML Anthology

Improving the Efficiency of Hierarchical Structure-and-Motion

Riccardo Gherardi, Michela Farenzena, Andrea Fusiello
CVPR 2010 pp. 1594-1600
doi:10.1109/CVPR.2010.5539782 /cvpr/2010/gherardi2010cvpr-improving/

Abstract

We present a completely automated Structure and Mo- tion pipeline capable of working with uncalibrated images with varying internal parameters and no ancillary informa- tion. The system is based on a novel hierarchical scheme which reduces the total complexity by one order of magni- tude. We assess the quality of our approach analytically by comparing the recovered point clouds with laser scans, which serves as ground truth data.

CVPR Semantic Scholar

Cite

Text

Gherardi et al. "Improving the Efficiency of Hierarchical Structure-and-Motion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010. doi:10.1109/CVPR.2010.5539782

Markdown

[Gherardi et al. "Improving the Efficiency of Hierarchical Structure-and-Motion." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2010.](https://mlanthology.org/cvpr/2010/gherardi2010cvpr-improving/) doi:10.1109/CVPR.2010.5539782

BibTeX

@inproceedings{gherardi2010cvpr-improving,
  title     = {{Improving the Efficiency of Hierarchical Structure-and-Motion}},
  author    = {Gherardi, Riccardo and Farenzena, Michela and Fusiello, Andrea},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2010},
  pages     = {1594-1600},
  doi       = {10.1109/CVPR.2010.5539782},
  url       = {https://mlanthology.org/cvpr/2010/gherardi2010cvpr-improving/}
}