Steady state non-line of sight imaging via unsupervised network

Yingjie Shi; Enlai Guo; Jinye Miao; Ming Sun; Lianfa Bai; Jing Han

doi:10.1117/12.2664624

4 April 2023 Steady state non-line of sight imaging via unsupervised network

Yingjie Shi, Enlai Guo, Jinye Miao, Ming Sun, Lianfa Bai, Jing Han

Proceedings Volume 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications; 126171Y (2023) https://doi.org/10.1117/12.2664624
Event: 9th Symposium on Novel Photoelectronic Detection Technology and Applications (NDTA 2022), 2022, Hefei, China

Abstract

Imaging around corners which is also known as Non-Line of Sight (NLOS) imaging has been widely studied. In this paper, a method of NLOS imaging using steady state intensity detection signals is proposed. The proposed method only requires a consumer-level industrial camera, which greatly reduces the cost of detector parts required by traditional NLOS. Through the combination of the physical model and neural network, the proposed method can realize the online optimization of network parameters by an unsupervised strategy, and finally reconstruct the structure information of the original target. Therefore, the proposed method does not need to access the target plane and imaging plane to collect a large amount of paired data for neural network training in advance. Experimental results show that the proposed method can reconstruct targets with different structure types and can be applied to scenes with different intermediary surfaces. The robustness of this method increases the possibility of application in real scenarios, and this physical data driven joint optimization strategy will also inspire the thinking of other imaging methods in the field of computational imaging.

Citation Download Citation

Yingjie Shi, Enlai Guo, Jinye Miao, Ming Sun, Lianfa Bai, and Jing Han "Steady state non-line of sight imaging via unsupervised network", Proc. SPIE 12617, Ninth Symposium on Novel Photoelectronic Detection Technology and Applications, 126171Y (4 April 2023); https://doi.org/10.1117/12.2664624

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KEYWORDS

Speckle

Neural networks

Relays

Non-line-of-sight propagation

Imaging systems

Cameras

Computational imaging

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