A New Effective Parallel Plane Segmentation Method for Point Cloud Based on Dimension Reduction Correction

Plane segmentation of point cloud occupies a significant role in point cloud processing. It is also an important topic to segment parallel planes while calculating the distance between parallel planes in engineering. But there are few good algorithms for parallel plane segmentation. This paper proposes an optimization method based on dimension reduction correction to segment parallel planes and calculates the distance between parallel planes precisely. The algorithm estimates the normal of parallel planes and corrects the normal on multiple two-dimensional sections which are perpendicular to parallel planes. The optimal normal of parallel planes can be used to obtain the equations of the planes. An experiment has been used to verify the effectiveness of the algorithm.