Table of contents
This article was originally created by CSDN Dianyunxia, and the original text link .
1. Algorithm principle
1. Algorithm process
The least squares fitting plane believes that there is no error in the point cloud data coefficient matrix. However, due to the limitation of observation conditions, there may be errors in the observation vector and coefficient matrix, so the least squares method is no longer optimal, but has Therefore, the overall least squares method can be used to fit the point cloud plane, and the parameters of the fitted plane can be solved by the singular value decomposition method.
Assuming that a certain plane is scanned to get