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用于标准CMOS传感器飞行时间成像的偏振调制光学零差检测

Polarization-Modulated Optical Homodyne for Time-of-Flight Imaging with Standard CMOS Sensors.

作者信息

Ebisu Ayaka, Aoto Takahito, Takatani Tsuyoshi

机构信息

Deggree Programs in Systems and Information Engineering, University of Tsukuba, Tsukuba 305-8573, Japan.

Optech Innovation, LLC., Tsukuba 305-0031, Japan.

出版信息

Sensors (Basel). 2025 Mar 18;25(6):1886. doi: 10.3390/s25061886.

Abstract

Indirect time-of-flight (iToF) imaging is a widely applied technique to obtain a depth image from the phase difference of amplitude-modulated signals between emitted light and reflected light. The phase difference is computed via electrical correlation on a conventional iToF sensor. However, iToF sensors face a trade-off between spatial resolution and light collection efficiency because it is hard to downsize the circuit of the electrical correlation in a pixel. Thus, we propose a novel iToF depth imaging system based on polarization-modulated optical homodyne detection with a standard CMOS sensor. A resonant photoelastic modulator is employed to modulate the polarization state, enabling optical correlation through interaction with an analyzer. The homodyne detection enhances noise resistance and sensitivity in the phase difference estimation. Furthermore, the use of a polarization camera allows to reduce the number of measurements. We first validate the successful estimation of the phase difference in both setups with an avalanche photodiode or a CMOS sensor. The experimental results show accurate depth estimation even in challenging factors such as a low signal-to-noise ratio, temporal intensity variations, and speckle noise. The proposed system enables high-resolution iToF depth imaging using readily available image sensors.

摘要

间接飞行时间(iToF)成像是一种广泛应用的技术,用于从发射光和反射光之间的幅度调制信号的相位差中获取深度图像。相位差是通过传统iToF传感器上的电相关计算得出的。然而,iToF传感器在空间分辨率和光收集效率之间面临权衡,因为很难缩小像素中电相关的电路尺寸。因此,我们提出了一种基于偏振调制光学零差检测和标准CMOS传感器的新型iToF深度成像系统。采用谐振光弹调制器来调制偏振态,通过与分析仪的相互作用实现光学相关。零差检测提高了相位差估计中的抗噪声能力和灵敏度。此外,使用偏振相机可以减少测量次数。我们首先在使用雪崩光电二极管或CMOS传感器的两种设置中验证了相位差的成功估计。实验结果表明,即使在诸如低信噪比、时间强度变化和散斑噪声等具有挑战性的因素下,也能进行准确的深度估计。所提出的系统能够使用现成的图像传感器实现高分辨率iToF深度成像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/acff/11945992/fc3b99fe3dbc/sensors-25-01886-g001.jpg

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