Feng Wei, Gao Junhui, Qu Tong, Zhou Shiqi, Zhao Daxing
Hubei Key Laboratory of Modern Manufacturing Quality Engineering, School of Mechanical Engineering, Hubei University of Technology, Wuhan 430068, China.
Sensors (Basel). 2021 Nov 20;21(22):7734. doi: 10.3390/s21227734.
Light field imaging plays an increasingly important role in the field of three-dimensional (3D) reconstruction because of its ability to quickly obtain four-dimensional information (angle and space) of the scene. In this paper, a 3D reconstruction method of light field based on phase similarity is proposed to increase the accuracy of depth estimation and the scope of applicability of epipolar plane image (EPI). The calibration method of the light field camera was used to obtain the relationship between disparity and depth, and the projector calibration was removed to make the experimental procedure more flexible. Then, the disparity estimation algorithm based on phase similarity was designed to effectively improve the reliability and accuracy of disparity calculation, in which the phase information was used instead of the structure tensor, and the morphological processing method was used to denoise and optimize the disparity map. Finally, 3D reconstruction of the light field was realized by combining disparity information with the calibrated relationship. The experimental results showed that the reconstruction standard deviation of the two objects was 0.3179 mm and 0.3865 mm compared with the ground truth of the measured objects, respectively. Compared with the traditional EPI method, our method can not only make EPI perform well in a single scene or blurred texture situations but also maintain good reconstruction accuracy.
由于光场成像能够快速获取场景的四维信息（角度和空间），因此在三维（3D）重建领域发挥着越来越重要的作用。本文提出了一种基于相位相似性的光场三维重建方法，以提高深度估计的准确性和极平面图像（EPI）的适用范围。利用光场相机的标定方法获取视差与深度的关系，并去除投影仪标定，使实验过程更加灵活。然后，设计了基于相位相似性的视差估计算法，有效提高了视差计算的可靠性和准确性，该算法使用相位信息代替结构张量，并采用形态学处理方法对视差图进行去噪和优化。最后，通过将视差信息与标定关系相结合，实现了光场的三维重建。实验结果表明，与被测物体的真实值相比，两个物体的重建标准差分别为0.3179mm和0.3865mm。与传统的EPI方法相比，我们的方法不仅能使EPI在单一场景或模糊纹理情况下表现良好，而且能保持良好的重建精度。
