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Robust Speckle-Autocorrelation Non-Line-of-Sight Imaging with Generative Adversarial Networks
Chen, Yue1,2; Qu, Bo1,2,3; Lu, Xiaoqiang1
2022
会议名称13th International Conference on Graphics and Image Processing, ICGIP 2021
会议录名称Thirteenth International Conference on Graphics and Image Processing, ICGIP 2021
卷号12083
会议日期2021-08-18
会议地点Kunming, China
出版者SPIE
产权排序1
摘要

Non-line-of-sight (NLOS) imaging, which utilizes weak photons that diffusely reflect from the visible surfaces (e.g., diffuse walls), can reconstruct hidden objects around the corner. Recently, lots of non-line-of-sight imaging methods have been proposed, such as time-of-flight (ToF)-based methods, coherence-based methods, and intensity-based methods. However, most of these methods are time-consuming for data acquisition and have poor robustness in the reconstruction process. In this paper, the novel application of Generative Adversarial Network is introduced to NLOS imaging. A robust, real-time NLOS imaging method based on autocorrelation mapping Generative Adversarial Network (AMGAN) is proposed, which reconstructs hidden scenes by learning the autocorrelation mapping from speckle-autocorrelation to the hidden target. In order to train the proposed AMGAN, we also analyze the principles of speckle-autocorrelation NLOS imaging and the noise model of the imaging process. Then a speckle-autocorrelation NLOS imaging dataset SANLOS is synthesized in this paper. Finally, our method is compared with other methods based on deep learning quantitatively and qualitatively. The experimental results demonstrate that the proposed approach achieves better NLOS reconstruction quality and is more robust under different exposure times compared with state-of-art methods. © 2022 SPIE.

关键词NLOS imaging Generative adversarial network Speckle-autocorrelation Convolutional neural network
作者部门光谱成像技术研究室
DOI10.1117/12.2623424
收录类别EI
ISBN号9781510650428
语种英语
ISSN号0277786X;1996756X
EI入藏号20221011744908
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.opt.ac.cn/handle/181661/95767
专题光谱成像技术研究室
通讯作者Qu, Bo
作者单位1.Key Laboratory of Spectral Imaging Technology CAS, Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Shaanxi, Xi’an; 710119, China
2.University of Chinese Academy of Sciences, Beijing; 100049, China
3.Ministry of Education Key Laboratory for Intelligent Networks and Network Security, Xi’an Jiaotong University, Xi’an; 710049, China
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Chen, Yue,Qu, Bo,Lu, Xiaoqiang. Robust Speckle-Autocorrelation Non-Line-of-Sight Imaging with Generative Adversarial Networks[C]:SPIE,2022.
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