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

被引:23
|
作者
Kadambi, Achuta [1 ]
Schiel, Jamie [1 ]
Raskar, Ramesh [1 ]
机构
[1] MIT, Media Lab, Cambridge, MA 02139 USA
关键词
D O I
10.1109/CVPR.2016.103
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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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页码:893 / 902
页数:10
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