Automatic Alignment of Indoor and Outdoor Building Models Using 3D Line Segments

Abstract

This paper presents an approach for automatically align-
\ning the non-overlapping interior and exterior parts of a 3D
\nbuilding model computed from image based 3D reconstruc-
\ntions. We propose a method to align the 3D reconstructions
\nby identifying corresponding 3D structures that are part of
\nthe interior and exterior model (e.g. openings like windows). In this context, we point out the potential of using 3D line segments to enrich the information of point clouds generated by SfMs and show how this can be used for interpreting the scene and matching individual reconstructions.

Cite

Text

Koch et al. "Automatic Alignment of Indoor and Outdoor Building Models Using 3D Line Segments." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016. doi:10.1109/CVPRW.2016.91

Markdown

[Koch et al. "Automatic Alignment of Indoor and Outdoor Building Models Using 3D Line Segments." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2016.](https://mlanthology.org/cvprw/2016/koch2016cvprw-automatic/) doi:10.1109/CVPRW.2016.91

BibTeX

@inproceedings{koch2016cvprw-automatic,
  title     = {{Automatic Alignment of Indoor and Outdoor Building Models Using 3D Line Segments}},
  author    = {Koch, Tobias and Körner, Marco and Fraundorfer, Friedrich},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2016},
  pages     = {689-697},
  doi       = {10.1109/CVPRW.2016.91},
  url       = {https://mlanthology.org/cvprw/2016/koch2016cvprw-automatic/}
}