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Proceedings Paper

Single-pixel depth imaging
Author(s): Huayi Wang; Liheng Bian; Jun Zhang
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Paper Abstract

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.

Paper Details

Date Published: 18 November 2019
PDF: 7 pages
Proc. SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI, 111870G (18 November 2019); doi: 10.1117/12.2538561
Show Author Affiliations
Huayi Wang, Beijing Institute of Technology (China)
Liheng Bian, Beijing Institute of Technology (China)
Jun Zhang, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 11187:
Optoelectronic Imaging and Multimedia Technology VI
Qionghai Dai; Tsutomu Shimura; Zhenrong Zheng, Editor(s)

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