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Metric three-dimensional reconstruction model from a light field and its calibration

机译：从灯场及其校准的公制三维重建模型

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摘要

The traditional methods of depth reconstruction from light fields have excellent performance in depth estimation; however, the depth information has nonlinear scale ambiguity. We divide the three-dimensional metric information into two easy subproblems instead of a whole question. A two-step method is proposed to obtain the metric depth and the metric lateral information, respectively. The depth model is proposed using the refocus property of the light field and the Gaussian lens formula. The model of the lateral coordinate is reasoned from the relationship between the light field in the scene and the recorded light field. Then, three calibration methods are proposed to determine these five parameters (the center position of the microlens for recovering the four-dimensional light field, the camera principal point, and the initial image distance). The experiments are conducted in our developed light field camera. The precision performance of our method is also confirmed in measuring the calibration board. When the proposed method is adopted to reconstruct the natural scene, the preferable results are obtained.
机译：传统的光田深度重建方法具有优异的深度估计性能;但是，深度信息具有非线性比例歧义。我们将三维度量信息划分为两个容易子问题而不是整个问题。提出了一种两步方法以分别获得度量深度和度量横向信息。使用光场的Refofus属性和高斯镜片公式提出深度模型。横向坐标的模型是从场景中的光场与记录光场之间的关系推理。然后，提出了三种校准方法来确定这五个参数（用于恢复四维光场，相机主点和初始图像距离的微透镜的中心位置）。实验在我们发达的光场相机中进行。我们的方法的精度性能也在测量校准板上进行了确认。当采用所提出的方法来重建自然场景时，获得优选的结果。

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