Single-pixel depth imaging

Huayi Wang; Liheng Bian; Jun Zhang

doi:10.1117/12.2538561

18 November 2019 Single-pixel depth imaging

Huayi Wang, Liheng Bian, Jun Zhang

Proceedings Volume 11187, Optoelectronic Imaging and Multimedia Technology VI; 111870G (2019) https://doi.org/10.1117/12.2538561
Event: SPIE/COS Photonics Asia, 2019, Hangzhou, China

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.

Citation Download Citation

Huayi Wang, Liheng Bian, and Jun Zhang "Single-pixel depth imaging", Proc. SPIE 11187, Optoelectronic Imaging and Multimedia Technology VI, 111870G (18 November 2019); https://doi.org/10.1117/12.2538561

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