Chen Guowen, Wang Hanpeng, Liu Mengfei, Liao Hongen
J Opt Soc Am A Opt Image Sci Vis. 2018 Sep 1;35(9):1567-1574. doi: 10.1364/JOSAA.35.001567.
Integral photography (IP) is one of the most promising 3D displays that can achieve a full parallax 3D display without glasses. There is a great need to render a correct, high-precision 3D image from an IP display. To achieve a correct 3D display, calibration is needed to correct optical misalignment and optical aberrations, while it is challenging to achieve correct mapping between a microlens array and matrix display. We propose an IP calibration method for a 3D autostereoscopic integral photography display based on a sparse camera array. Our method distinguishes itself from previous methods by estimating parameters for a dense correspondence map of an IP display with a relatively flexible setup and high precision in a reasonable time cost. We also propose a workflow to enable our method to handle both a visible and invisible microlens array and obtain a great outcome. One prototype is fabricated to evaluate the feasibility of the proposed method. Moreover, we evaluate our proposed method in geometry accuracy and image quality.
积分成像（IP）是最具前景的3D显示技术之一，它能够实现无需眼镜的全视差3D显示。从IP显示器渲染出正确、高精度的3D图像具有迫切需求。为实现正确的3D显示，需要进行校准以校正光学对准误差和光学像差，而在微透镜阵列和矩阵显示器之间实现正确映射具有挑战性。我们提出了一种基于稀疏相机阵列的3D自动立体积分成像显示器的IP校准方法。我们的方法与先前方法的不同之处在于，它通过相对灵活的设置和合理的时间成本以高精度估计IP显示器密集对应映射的参数。我们还提出了一种工作流程，使我们的方法能够处理可见和不可见的微透镜阵列并获得良好结果。制作了一个原型来评估所提方法的可行性。此外，我们从几何精度和图像质量方面评估了所提方法。
