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用于三维离散和连续光场重建的全光成像评估

Assessment of plenoptic imaging for reconstruction of 3D discrete and continuous luminous fields.

作者信息

Liu Hecong, Wang Qianlong, Cai Weiwei

出版信息

J Opt Soc Am A Opt Image Sci Vis. 2019 Feb 1;36(2):149-158. doi: 10.1364/JOSAA.36.000149.

DOI:10.1364/JOSAA.36.000149
PMID:30874092
Abstract

Volumetric tomography has become an indispensable tool for flow diagnostics. However, it usually suffers from high experimental costs as multiple cameras are required in a typical tomographic system. Plenoptic imaging (PI) is a promising alternative which can simultaneously record spatial and angular information using only one single camera. Although PI has been pioneered by a few groups for 3D flow imaging, this particular application is still at its early stage of development and there are some aspects that need further investigation. In this work, we will systematically assess three representative tomographic algorithms for PI via numerical studies. In addition, we show here how 3D PI inversion can be interpreted from a tomographic perspective and how to conveniently perform the calibration with an existing well-established method which can take into account the effect of lens distortion. A proof-of-concept experiment was also conducted, and the conclusions drawn were consistent with those from numerical studies. Although this work was discussed under the context of flow/flame imaging, the general conclusions are also applicable to other application fields, such as biomedical imaging.

摘要

体积层析成像已成为流动诊断中不可或缺的工具。然而,由于典型的层析成像系统需要多个相机,它通常面临高昂的实验成本。全光成像(PI)是一种很有前景的替代方法,它仅使用一个相机就能同时记录空间和角度信息。尽管已有一些团队率先将PI用于三维流动成像,但这一特定应用仍处于发展初期,有些方面需要进一步研究。在这项工作中,我们将通过数值研究系统地评估三种具有代表性的用于PI的层析算法。此外,我们在此展示了如何从层析成像的角度解释三维PI反演,以及如何使用一种现有的成熟方法方便地进行校准,该方法可以考虑镜头畸变的影响。我们还进行了一个概念验证实验,得出的结论与数值研究的结论一致。尽管这项工作是在流动/火焰成像的背景下进行讨论的,但一般结论也适用于其他应用领域,如生物医学成像。

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High-Accuracy Correction of a Microlens Array for Plenoptic Imaging Sensors.用于全光成像传感器的微透镜阵列的高精度校正。
Sensors (Basel). 2019 Sep 11;19(18):3922. doi: 10.3390/s19183922.