ML Anthology

Polarized Non-Line-of-Sight Imaging

Kenichiro Tanaka, Yasuhiro Mukaigawa, Achuta Kadambi
CVPR 2020
doi:10.1109/CVPR42600.2020.00221 /cvpr/2020/tanaka2020cvpr-polarized/

Abstract

This paper presents a method of passive non-line-of-sight (NLOS) imaging using polarization cues. A key observation is that the oblique light has a different polarimetric signal. It turns out this effect is due to the polarization axis rotation, a phenomena which can be used to better condition the light transport matrix for non-line-of-sight imaging. Our analysis and results show that the use of a polarization for NLOS is both a standalone technique, as well as an enhancement technique to boost the results of other forms of passive NLOS imaging. We make a surprising finding that, despite 50% light attenuation from polarization optics, the gains from polarized NLOS are overall superior to unpolarized NLOS.

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Cite

Text

Tanaka et al. "Polarized Non-Line-of-Sight Imaging." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020. doi:10.1109/CVPR42600.2020.00221

Markdown

[Tanaka et al. "Polarized Non-Line-of-Sight Imaging." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020.](https://mlanthology.org/cvpr/2020/tanaka2020cvpr-polarized/) doi:10.1109/CVPR42600.2020.00221

BibTeX

@inproceedings{tanaka2020cvpr-polarized,
  title     = {{Polarized Non-Line-of-Sight Imaging}},
  author    = {Tanaka, Kenichiro and Mukaigawa, Yasuhiro and Kadambi, Achuta},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2020},
  doi       = {10.1109/CVPR42600.2020.00221},
  url       = {https://mlanthology.org/cvpr/2020/tanaka2020cvpr-polarized/}
}