Cai Zewei, Liu Xiaoli, Peng Xiang, Gao Bruce Z
Appl Opt. 2018 Jan 1;57(1):A26-A32. doi: 10.1364/AO.57.000A26.
Technologies and devices for light field imaging have recently been developed for both industrial applications and scientific research to achieve excellent imaging properties. In our previous work, we combined light field imaging with structured illumination to propose a structured light field method in which multidirectional depth estimation can be performed for high-quality 3D imaging. However, the projection axis was implicitly assumed to be perpendicular to the reference plane, which is hard to meet in practice. In this paper, we derive a universal phase-depth mapping in a structured light field by relaxing this implicit condition. Both nonlinear and linear models were proposed based on this universal relationship. To test the model's practical performance, we simulated experiments by adding errors to the real measured values to evaluate the deviation in depth estimation. By comparing the root-mean-square distributions of the depth deviations with respect to the depth positions, we demonstrated that the nonlinear model was precise and consistent in a wide range of depth, and we employed this model to realize high-quality multidirectional scene reconstruction.
用于光场成像的技术和设备最近已被开发用于工业应用和科学研究，以实现出色的成像特性。在我们之前的工作中，我们将光场成像与结构化照明相结合，提出了一种结构化光场方法，通过该方法可以进行多方向深度估计以实现高质量的三维成像。然而，投影轴被隐含地假定为垂直于参考平面，这在实际中很难满足。在本文中，我们通过放宽这个隐含条件，推导出结构化光场中的通用相位-深度映射。基于这种通用关系，我们提出了非线性和线性模型。为了测试模型的实际性能，我们通过向实际测量值添加误差来模拟实验，以评估深度估计中的偏差。通过比较深度偏差相对于深度位置的均方根分布，我们证明了非线性模型在很宽的深度范围内是精确且一致的，并且我们使用该模型实现了高质量的多方向场景重建。
