基于深度图像的点云建模

Shuangfeng Wei, Hong Chen
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摘要

本文首先介绍了GQS(General Quadric Surface)方程,然后考虑利用参考不同基准面的深度图像对点云进行建模。在获得参考数据的基础上,提出了基于点云的深度图像生成方法,并针对不同的参考数据给出了具体步骤。最后,从紫禁城激光扫描数据中选取古建筑构件的点云数据作为实验数据,开发了深度图像建模系统。实验结果证明了平面、圆柱和球面拟合方法的稳定性和高精度,以及深度图像表示目标点云的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Depth image-based modeling of point cloud
This paper introduces at first GQS(General Quadric Surface) equation, then considers that utilizing depth images referenced to various datum planes to model point cloud. After getting reference datum, this paper proposing the methods of creating depth images from point cloud and the specific steps with reference to different datums. Finally we choose some point cloud data of ancient building components from laser scanning data of Forbidden City in China as experiment data, and develop a depth images modeling system. Experiment results demonstrate the stability and high precision of the method of plane, cylinder and sphere fitting as well as the validity of depth images to represent point cloud of object.
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