Planar Surface Reconstruction from Sparse Views
Abstract
The paper studies planar surface reconstruction of indoor scenes from two views with unknown camera poses. While prior approaches have successfully created object-centric reconstructions of many scenes, they fail to exploit other structures, such as planes, which are typically the dominant components of indoor scenes. In this paper, we reconstruct planar surfaces from multiple views, while jointly estimating camera pose. Our experiments demonstrate that our method is able to advance the state of the art of reconstruction from sparse views, on challenging scenes from Matterport3D.
Cite
Text
Jin et al. "Planar Surface Reconstruction from Sparse Views." International Conference on Computer Vision, 2021. doi:10.1109/ICCV48922.2021.01275Markdown
[Jin et al. "Planar Surface Reconstruction from Sparse Views." International Conference on Computer Vision, 2021.](https://mlanthology.org/iccv/2021/jin2021iccv-planar/) doi:10.1109/ICCV48922.2021.01275BibTeX
@inproceedings{jin2021iccv-planar,
title = {{Planar Surface Reconstruction from Sparse Views}},
author = {Jin, Linyi and Qian, Shengyi and Owens, Andrew and Fouhey, David F.},
booktitle = {International Conference on Computer Vision},
year = {2021},
pages = {12991-13000},
doi = {10.1109/ICCV48922.2021.01275},
url = {https://mlanthology.org/iccv/2021/jin2021iccv-planar/}
}