在裸眼3D显示中，传统的多视点采集方式为均匀采集。研究表明，因柱透镜光栅存在畸变，所以显示器构建的视点分布并不均匀，进而导致显示器视点和采集视点不匹配，产生了视点图像错位、透视关系错误等问题，影响最终的观看体验。针对上述问题，本文提出了一种多视点图像分布校正方案，该方案由一种视点筛选算法和中间视点生成网络构成：结合空间视点真实分布规律，针对均匀采集的多视点图像进行视点筛选，以指导中间视点预测网络生成对应位置的虚拟视点，使之匹配显示器构建视点位置。实验证明该方案为显示器视点填充了正确的视差图，有效地解决了显示器空间视点和采集视点的位置不匹配问题，提升了光栅立体显示器的观看质量。

In naked eye 3D display, the traditional multi-viewpoint acquisition method is a uniform acquisition. The study shows that the viewpoint distribution constructed by the display is not uniform due to the aberrations of the column lens grating, and there are contradictions between the distribution of the collected viewpoints and display, producing problems such as misaligned viewpoint images and incorrect perspective relationships, which affect the final viewing experience. In this paper, a multi-viewpoint image distribution correction scheme is proposed for the above problems. The scheme consists of a viewpoint screening algorithm and an intermediate viewpoints generation network. Combined with the real distribution law of spatial viewpoints, the viewpoint screening is performed for the uniformly collected multi-viewpoint images to guide the intermediate viewpoint prediction network to generate virtual viewpoints at corresponding positions to match the display construction viewpoint positions. Experimental results prove the scheme effectively solves the mismatch between the spatial viewpoint of the display and the position of the acquisition viewpoint, thus improves the viewing quality of the naked eye 3D display.