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">></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.1990.139596Markdown
[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.1990.139596BibTeX
@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/}
}