Feng Wei, Qu Tong, Gao Junhui, Wang Henghui, Li Xiuhua, Zhai Zhongsheng, Zhao Daxing
Appl Opt. 2021 Aug 20;60(24):7086-7093. doi: 10.1364/AO.431538.
In this paper, a novel method, to the best of our knowledge, of structured light fields based on point cloud adaptive repair is proposed to realize 3D reconstruction for highly reflective surfaces. We have designed and built a focused light field camera whose spatial and angular resolution can be flexibly adjusted as required. Then the subaperture image extraction algorithm based on image mosaic is deduced and presented to obtain multidirectional images. After that, the 3D reconstruction of structured light field imaging based on point cloud adaptive repair is presented to accurately reconstruct for highly reflective surfaces. In addition, a method based on smoothness and repair rate is also proposed to objectively evaluate the performance of the 3D reconstruction. Experimental results demonstrate the validity of the proposed method to perform high-quality depth reconstruction for highly reflective surfaces. Generally, our method takes advantage of the multidirectional imaging of the light field camera and can ensure good modulation effect of structured light while avoiding hardware complexity, which makes it application more convenient.
据我们所知，本文提出了一种基于点云自适应修复的新型结构光场方法，以实现高反射表面的三维重建。我们设计并构建了一台聚焦光场相机，其空间和角度分辨率可根据需要灵活调整。然后推导并提出了基于图像拼接的子孔径图像提取算法，以获取多方向图像。在此之后，提出了基于点云自适应修复的结构光场成像三维重建方法，以对高反射表面进行精确重建。此外，还提出了一种基于平滑度和修复率的方法，以客观评估三维重建的性能。实验结果证明了所提方法对高反射表面进行高质量深度重建的有效性。总体而言，我们的方法利用了光场相机的多方向成像，能够在避免硬件复杂性的同时确保结构光的良好调制效果，使其应用更加方便。
