Computer virtual reconstruction of a three dimensional scene in integral imaging

Min Guo, Yu-juan Si, Shigang Wang, Yuan-zhi Lyu, Bowen Jia, Wei Wu
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Abstract

To solve the problem of rapid perception of the collected content and non-contact measurement in integral imaging, computer virtual reconstruction algorithm of a three dimensional scene is proposed. Firstly, calculate the combined disparity map of an elemental image array using the region-based iterative matching algorithm according to the distribution characteristics of the homologous pixels in the elemental image array; then calculate the spatial coordinates of the reconstructed object points in line with the triangulation principle; and at last, delete error points and reduce the data redundancy using the data simplification algorithm based on the scanning line, and then the reconstructed three dimensional scene is obtained. The experimental results indicate that the method can not only reconstruct a clear and complete three dimensional scene, restore the relative position of the objects, but also measure the objects' sizes in the three dimensional scene.
积分成像中三维场景的计算机虚拟重建
为了解决积分成像中采集内容的快速感知和非接触式测量问题,提出了三维场景的计算机虚拟重建算法。首先,根据元素图像阵列中同源像元的分布特征,采用基于区域的迭代匹配算法计算元素图像阵列的组合视差图;然后根据三角剖分原理计算重建目标点的空间坐标;最后,利用基于扫描线的数据简化算法,删除误差点,减少数据冗余,得到重建的三维场景。实验结果表明,该方法不仅可以重建清晰完整的三维场景,还原物体的相对位置,还可以测量三维场景中物体的大小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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