Depth from a Polarisation + RGB Stereo Pair
Abstract
In this paper, we propose a hybrid depth imaging system in which a polarisation camera is augmented by a second image from a standard digital camera. For this modest increase in equipment complexity over conventional shape-from-polarisation, we obtain a number of benefits that enable us to overcome longstanding problems with the polarisation shape cue. The stereo cue provides a depth map which, although coarse, is metrically accurate. This is used as a guide surface for disambiguation of the polarisation surface normal estimates using a higher order graphical model. In turn, these are used to estimate diffuse albedo. By extending a previous shape-from-polarisation method to the perspective case, we show how to compute dense, detailed maps of absolute depth, while retaining a linear formulation. We show that our hybrid method is able to recover dense 3D geometry that is superior to state-of-the-art shape-from-polarisation or two view stereo alone.
Cite
Text
Zhu and Smith. "Depth from a Polarisation + RGB Stereo Pair." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019. doi:10.1109/CVPR.2019.00777Markdown
[Zhu and Smith. "Depth from a Polarisation + RGB Stereo Pair." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019.](https://mlanthology.org/cvpr/2019/zhu2019cvpr-depth/) doi:10.1109/CVPR.2019.00777BibTeX
@inproceedings{zhu2019cvpr-depth,
title = {{Depth from a Polarisation + RGB Stereo Pair}},
author = {Zhu, Dizhong and Smith, William A. P.},
booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2019},
doi = {10.1109/CVPR.2019.00777},
url = {https://mlanthology.org/cvpr/2019/zhu2019cvpr-depth/}
}