逆向工程中分层点云数据的拼合及精简

A Method for Merging and Reducing the Points in Different Layers in Reverse Engineering

在逆向工程多视图拼合过程中,由于数据测量误差以及计算等因素的影响,数据往往会产生分层的问题,这将对曲面重建工作造成很大困难。针对这一问题,文章提出了一种新的方法,对多个视图重合部分有分层现象处的点云进行二次拼合并精简,从而有效减小误差,为后续的数据分割和曲面拟合做好准备。

In reverse engineering, we usually need to scan the object from different views, and then merge the multi -views into one model. In the merging process, as the deviation in measuring and computing, the cloud data probably is in different layers. This leads many difficulties to the model reconstruction. About this problem, this paper presents a new method which can re - merge the cloud data in different layers and it can reduce the deviation between points and surfaces effectively.