Planar Surface Reconstruction From Sparse Views

Linyi Jin, Shengyi Qian, Andrew Owens, David F. Fouhey; Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 12991-13000

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.

Related Material

[pdf] [arXiv]
[bibtex]
@InProceedings{Jin_2021_ICCV, author = {Jin, Linyi and Qian, Shengyi and Owens, Andrew and Fouhey, David F.}, title = {Planar Surface Reconstruction From Sparse Views}, booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)}, month = {October}, year = {2021}, pages = {12991-13000} }