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Volumetric particle image velocimetry with a single plenoptic camera

机译:单个全光摄像机的体积颗粒图像测速

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A novel three-dimensional (3D), three-component (3C) particle image velocimetry (PIV) technique based on volume illumination and light field imaging with a single plenoptic camera is described. A plenoptic camera uses a densely packed microlens array mounted near a high resolution image sensor to sample the spatial and angular distribution of light collected by the camera. The multiplicative algebraic reconstruction technique (MART) computed tomography algorithm is used to reconstruct a volumetric intensity field from individual snapshots and a cross-correlation algorithm is used to estimate the velocity field from a pair of reconstructed particle volumes. This work provides an introduction to the basic concepts of light field imaging with a plenoptic camera and describes the unique implementation of MART in the context of plenoptic image data for 3D/3C PIV measurements. Simulations of a plenoptic camera using geometric optics are used to generate synthetic plenoptic particle images, which are subsequently used to estimate the quality of particle volume reconstructions at various particle number densities. 3D reconstructions using this method produce reconstructed particles that are elongated by a factor of approximately 4 along the optical axis of the camera. A simulated 3D Gaussian vortex is used to test the capability of single camera plenoptic PIV to produce a 3D/3C vector field, where it was found that lateral displacements could be measured to approximately 0.2 voxel accuracy in the lateral direction and 1 voxel in the depth direction over a 300x200x200 voxel volume. The feasibility of the technique is demonstrated experimentally using a home-built plenoptic camera based on a 16-megapixel interline CCD camera and a 289 x 193 array of microlenses and a pulsed Nd:YAG laser. 3D/3C measurements were performed in the wake of a low Reynolds number circular cylinder and compared with measurements made using a conventional 2D/2C PIV system. Overall, single camera plenoptic PIV is shown to be a viable 3D/3C velocimetry technique.
机译:描述了一种新颖的三维(3D),三分量(3C)粒子图像测速(PIV)技术,该技术基于使用单个全光摄像机的体积照明和光场成像。全光相机使用安装在高分辨率图像传感器附近的密集排列的微透镜阵列来采样相机收集的光的空间和角度分布。乘法代数重建技术(MART)的计算机断层摄影算法用于从单个快照重建体积强度场,而互相关算法用于从一对重建的粒子体积估计速度场。这项工作介绍了用全光相机进行光场成像的基本概念,并介绍了在用于3D / 3C PIV测量的全光图像数据的情况下MART的独特实现方式。使用几何光学对全光相机进行仿真可生成合成的全光粒子图像,随后将其用于估算各种粒子数密度下的粒子体积重建质量。使用此方法的3D重建会产生重建的粒子,这些粒子沿着相机的光轴伸长了大约4倍。使用模拟的3D高斯涡旋来测试单镜头全光PIV产生3D / 3C矢量场的能力,在该场中,可以发现横向位移的横向方向精度约为0.2体素,深度方向的深度约为1体素300x200x200体素体积上的方向。该技术的可行性通过使用基于16兆像素行间CCD相机,289 x 193微透镜阵列和脉冲Nd:YAG激光器的家用全光摄像机进行了实验验证。在低雷诺数圆柱体之后进行3D / 3C测量,并将其与使用常规2D / 2C PIV系统进行的测量进行比较。总体而言,单摄像机全光PIV被证明是可行的3D / 3C测速技术。

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