基于单光场相机的三维粒子定位方法

2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI) Pub Date : 2019-11-01 DOI:10.1109/ICEMI46757.2019.9101797

K. Ming, Dong Ping, Zhao Jun, Guo Tiantai

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引用次数: 0

摘要

重建算法是光场相机应用中的一个研究热点。本文深入研究了三维粒子光场成像的数学模型，建立了光线追踪矩阵，确定了粒子在光场相机中的成像模型。建立了基于光场相机层析重建的数学模型，实现了光场图像的计算。采用乘法代数重构算法(MART)对体素值进行重构，并对算法中的权重系数进行改进，提高了运算速度。研究了算法中松弛因子对粒子三维定位的影响，确定了选择范围。进行了相关的实验研究，发现松弛因子在本文的范围内可以提高运算速度，确定合理的迭代次数。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Three-dimensional particle localization method based on single light field camera

Reconstruction algorithm is a research hotspot in the application of light field camera. In this paper, the mathematical model of 3D particle light field imaging is deeply studied, and the ray tracing matrix is established to determine the imaging model of the particle in the light field camera. A mathematical model based on tomographic reconstruction of light field camera is established to realize the calculation of light field image. The multiplicative algebraic reconstruction algorithm (MART) is used to reconstruct the voxel value, and the weighting coefficient in the algorithm is also improved, which improves the operation speed. The influence of the relaxation factor in the algorithm on the three-dimensional positioning of particles is studied, and the selection range is determined. Relevant experimental studies have been carried out, and it is found that the relaxation factor in the range of this paper can improve the operation speed and determine the reasonable iteration number.

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2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)

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