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ShanghaiTech University Knowledge Management System
Neural Reconstruction through Scattering Media with Forward and Backward Losses | |
2023-07-28 | |
会议录名称 | 2023 IEEE INTERNATIONAL CONFERENCE ON COMPUTATIONAL PHOTOGRAPHY (ICCP)
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ISSN | 2164-9774 |
发表状态 | 已发表 |
DOI | 10.1109/ICCP56744.2023.10233796 |
摘要 | Reconstructing an object behind a scattering medium needs to tackle different light scatterings inside the medium and in the free space. Major approaches, e.g., diffuse optical tomography and non-line-of-sight imaging, address either of the light scatterings. Confocal diffuse tomography (CDT) considers the media acting as a diffuse kernel on the free-space scattering and recovers the object by deconvolving the inside-medium scattering. Inspired by CDT, we present a Neural De-Scatterer to solve this challenging problem. We exploit neural implicit fields to represent the the free-space scattering and use a multilayer perceptron (MLP) to learn the density and albedo of the hidden object. Furthermore, we tailor a bi-directional training strategy to optimize the MLP with forward and backward losses and employ hash encoding for memory and computation efficiency. The Neural De-Scatterer enables us to reconstruct objects at arbitrary resolution. Comprehensive experiments with synthetic and real measurements demonstrate that our Neural De-Scatterer outperforms state-of-The-Art methods. Our data and code are publicly available. © 2023 IEEE. |
会议录编者/会议主办者 | et al. ; KLA+ ; PI Imaging ; Snap Inc. ; Sony ; Ubicept |
关键词 | Computational photography Diffuse optical tomography Non-line-of-sight imaging Neural implicit representation |
会议名称 | 15th IEEE International Conference on Computational Photography, ICCP 2023 |
会议地点 | Madison, WI, USA |
会议日期 | 28-30 July 2023 |
URL | 查看原文 |
收录类别 | EI |
语种 | 英语 |
出版者 | Institute of Electrical and Electronics Engineers Inc. |
EI入藏号 | 20234014830080 |
EI主题词 | Light scattering |
EI分类号 | 711 Electromagnetic Waves ; 741.1 Light/Optics ; 741.3 Optical Devices and Systems ; 742.1 Photography |
原始文献类型 | Conference article (CA) |
来源库 | IEEE |
引用统计 | 正在获取...
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文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/333447 |
专题 | 信息科学与技术学院 信息科学与技术学院_PI研究组_虞晶怡组 信息科学与技术学院_硕士生 信息科学与技术学院_博士生 |
作者单位 | 1.School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China 2.Shanghai Engineering Research Center of Intelligent Vision and Imaging and also with the School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China |
第一作者单位 | 信息科学与技术学院 |
第一作者的第一单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Yuehan Wang,Siyuan Shen,Suan Xia,et al. Neural Reconstruction through Scattering Media with Forward and Backward Losses[C]//et al., KLA+, PI Imaging, Snap Inc., Sony, Ubicept:Institute of Electrical and Electronics Engineers Inc.,2023. |
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