Macroscopic Interferometry: Rethinking Depth Estimation With Frequency-Domain Time-Of-Flight

Achuta Kadambi, Jamie Schiel, Ramesh Raskar; The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, pp. 893-902

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.

Related Material


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[bibtex]
@InProceedings{Kadambi_2016_CVPR,
author = {Kadambi, Achuta and Schiel, Jamie and Raskar, Ramesh},
title = {Macroscopic Interferometry: Rethinking Depth Estimation With Frequency-Domain Time-Of-Flight},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2016}
}