Snapshot Space–Time Holographic 3D Particle Tracking Velocimetry,Laser & Photonics Reviews

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Snapshot Space–Time Holographic 3D Particle Tracking Velocimetry
Laser & Photonics Reviews ( IF 9.8 ) Pub Date : 2021-06-10 , DOI: 10.1002/lpor.202100008
Ni Chen ₁ , Congli Wang ₁ , Wolfgang Heidrich ₁

Affiliation

Digital inline holography is an amazingly simple and effective approach for 3D imaging, to which particle tracking velocimetry is of particular interest. Conventional digital holographic particle tracking velocimetry techniques are computationally separated in particle and flow reconstruction, plus the expensive computations. Usually, the particle volumes are recovered first, from which fluid flows are computed. Without iterative reconstructions, This sequential space–time process lacks accuracy. This paper presents a joint optimization framework for digital holographic particle tracking velocimetry: particle volumes and fluid flows are reconstructed jointly in a higher space–time dimension, enabling faster convergence and better reconstruction quality of both fluid flow and particle volumes within a few minutes on modern GPUs. Synthetic and experimental results are presented to show the efficiency of the proposed technique.

中文翻译：

快照时空全息 3D 粒子跟踪测速

数字在线全息术是一种非常简单且有效的 3D 成像方法，其中粒子跟踪测速技术尤其令人感兴趣。传统的数字全息粒子跟踪测速技术在粒子和流重建中计算分离，加上昂贵的计算。通常，首先恢复粒子体积，从中计算流体流量。如果没有迭代重建，这种连续的时空过程缺乏准确性。本文提出了数字全息粒子跟踪测速的联合优化框架：粒子体积和流体流动在更高的时空维度上联合重建，在现代计算机上的几分钟内实现更快的收敛和更好的流体流动和粒子体积的重建质量。 GPU。

更新日期：2021-08-15

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