Macroscopic Interferometry: Rethinking Depth Estimation with Frequency-Domain Time-of-Flight

Achuta Kadambi, Jamie Schiel, Ramesh Raskar

CVPR 2016

doi:10.1109/CVPR.2016.103 /cvpr/2016/kadambi2016cvpr-macroscopic/

Abstract

A form of meter-scale, macroscopic interferometry is proposed using conventional time-of-flight (ToF) sensors. Today, ToF sensors use phase-based sampling, where the phase delay between emitted and received, high-frequency signals encodes distance. This paper examines an alternative ToF architecture, inspired by micron-scale, microscopic interferometry, that relies only on frequency sampling: we refer to our proposed macroscopic technique as Frequency-Domain Time of Flight (FD-ToF). The proposed architecture offers several benefits over existing phase ToF systems, such as robustness to phase wrapping and implicit resolution of multi-path interference, all while capturing the same number of subframes. A prototype camera is constructed to demonstrate macroscopic interferometry at meter scale.

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Cite

Text

Kadambi et al. "Macroscopic Interferometry: Rethinking Depth Estimation with Frequency-Domain Time-of-Flight." Conference on Computer Vision and Pattern Recognition, 2016. doi:10.1109/CVPR.2016.103

Markdown

[Kadambi et al. "Macroscopic Interferometry: Rethinking Depth Estimation with Frequency-Domain Time-of-Flight." Conference on Computer Vision and Pattern Recognition, 2016.](https://mlanthology.org/cvpr/2016/kadambi2016cvpr-macroscopic/) doi:10.1109/CVPR.2016.103

BibTeX

@inproceedings{kadambi2016cvpr-macroscopic,
  title     = {{Macroscopic Interferometry: Rethinking Depth Estimation with Frequency-Domain Time-of-Flight}},
  author    = {Kadambi, Achuta and Schiel, Jamie and Raskar, Ramesh},
  booktitle = {Conference on Computer Vision and Pattern Recognition},
  year      = {2016},
  doi       = {10.1109/CVPR.2016.103},
  url       = {https://mlanthology.org/cvpr/2016/kadambi2016cvpr-macroscopic/}
}