Ms. Huayi Wang Profile

Huayi Wang

at Beijing Institute of Technology

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Proceedings Article | 18 November 2019 Paper

Single-pixel depth imaging

Huayi Wang, Liheng Bian, Jun Zhang

Proceedings Volume 11187, 111870G (2019) https://doi.org/10.1117/12.2538561

KEYWORDS: Sensors, Modulation, 3D image processing, Imaging systems, 3D acquisition, Composites, 3D metrology, Reconstruction algorithms, Neural networks, Stereoscopy

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The conventional single-pixel imaging (SPI) is unable to directly obtain the target's depth information due to the lack of depth modulation and corresponding decoding. The existing SPI-based depth imaging systems utilize multiple single-pixel detectors to capture multi-angle images, or introduce depth modulation devices such as optical grating to achieve three-dimensional imaging. The methods require bulky systems and high computational complexity. In this paper, we present a novel and efficient three-dimensional SPI method that does not require any additional hardware compared to the conventional SPI system. Specifically, a multiplexing illumination strategy combining random and sinusoidal pattern is proposed, which is able to simultaneously encode the target's spatial and depth information into a measurement sequence captured by a single-pixel detector. To decode the three-dimensional information from one-dimensional measurements, we built and trained a deep convolutional neural network. The end-to-end framework largely accelerates reconstruction speed, reduces computational complexity and improves reconstruction precision. Both simulations and experiments validate the method's effectiveness and efficiency for depth imaging.

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