Region-Based Reconstruction of an Indoor Scene Using an Integration of Active and Passive Sensing Techniques

Abstract

A region-based reconstruction technique is proposed which simplifies the process of scene reconstruction and increases reliability. Integrating grid coding and intensity image analysis methods, stable regions which make up the skeleton structure of a room (i.e. wall, ceiling, floor, etc.) are extracted. The indoor scene is then reconstructed based on 2-D and 3-D topological relationships. The experimental results show that local errors do not radically alter the topological relationships of detected regions, so robust reconstruction can be achieved.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cite

Text

Hoshino et al. "Region-Based Reconstruction of an Indoor Scene Using an Integration of Active and Passive Sensing Techniques." IEEE/CVF International Conference on Computer Vision, 1990. doi:10.1109/ICCV.1990.139596

Markdown

[Hoshino et al. "Region-Based Reconstruction of an Indoor Scene Using an Integration of Active and Passive Sensing Techniques." IEEE/CVF International Conference on Computer Vision, 1990.](https://mlanthology.org/iccv/1990/hoshino1990iccv-region/) doi:10.1109/ICCV.1990.139596

BibTeX

@inproceedings{hoshino1990iccv-region,
  title     = {{Region-Based Reconstruction of an Indoor Scene Using an Integration of Active and Passive Sensing Techniques}},
  author    = {Hoshino, Junichi and Uemura, Tetsuya and Masuda, Isao},
  booktitle = {IEEE/CVF International Conference on Computer Vision},
  year      = {1990},
  pages     = {568-572},
  doi       = {10.1109/ICCV.1990.139596},
  url       = {https://mlanthology.org/iccv/1990/hoshino1990iccv-region/}
}