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Analysis of Feature Visibility in Non-Line-of-Sight Measurements

Xiaochun Liu, Sebastian Bauer, Andreas Velten
CVPR 2019
doi:10.1109/CVPR.2019.01038 /cvpr/2019/liu2019cvpr-analysis/

Abstract

We formulate an equation describing a general Non-line-of-sight (NLOS) imaging measurement and analyze the properties of the measurement in the Fourier domain regarding the spatial frequencies of the scene it encodes. We conclude that for a relay wall with finite size, certain scene configurations and features are not detectable in an NLOS measurement. We then provide experimental examples of invisible scene features and their reconstructions, as well as a set of example scenes that lead to an ill-posed NLOS imaging problem.

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Cite

Text

Liu et al. "Analysis of Feature Visibility in Non-Line-of-Sight Measurements." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019. doi:10.1109/CVPR.2019.01038

Markdown

[Liu et al. "Analysis of Feature Visibility in Non-Line-of-Sight Measurements." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2019.](https://mlanthology.org/cvpr/2019/liu2019cvpr-analysis/) doi:10.1109/CVPR.2019.01038

BibTeX

@inproceedings{liu2019cvpr-analysis,
  title     = {{Analysis of Feature Visibility in Non-Line-of-Sight Measurements}},
  author    = {Liu, Xiaochun and Bauer, Sebastian and Velten, Andreas},
  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2019},
  doi       = {10.1109/CVPR.2019.01038},
  url       = {https://mlanthology.org/cvpr/2019/liu2019cvpr-analysis/}
}