Street View Motion-from-Structure-from-Motion

Abstract

We describe a structure-from-motion framework that handles "generalized" cameras, such as moving rollingshutter cameras, and works at an unprecedented scale-billions of images covering millions of linear kilometers of roads--by exploiting a good relative pose prior along vehicle paths. We exhibit a planet-scale, appearanceaugmented point cloud constructed with our framework and demonstrate its practical use in correcting the pose of a street-level image collection.

Cite

Text

Klingner et al. "Street View Motion-from-Structure-from-Motion." International Conference on Computer Vision, 2013. doi:10.1109/ICCV.2013.122

Markdown

[Klingner et al. "Street View Motion-from-Structure-from-Motion." International Conference on Computer Vision, 2013.](https://mlanthology.org/iccv/2013/klingner2013iccv-street/) doi:10.1109/ICCV.2013.122

BibTeX

@inproceedings{klingner2013iccv-street,
  title     = {{Street View Motion-from-Structure-from-Motion}},
  author    = {Klingner, Bryan and Martin, David and Roseborough, James},
  booktitle = {International Conference on Computer Vision},
  year      = {2013},
  doi       = {10.1109/ICCV.2013.122},
  url       = {https://mlanthology.org/iccv/2013/klingner2013iccv-street/}
}