Open3D implements point cloud demassification

Open3D implements point cloud demassification

A point cloud is a three-dimensional dataset composed of a large number of discrete points, commonly found in computer vision and graphics. When dealing with point cloud data, one of the common tasks is to normalize the data by removing the centroid of the point cloud. This article will introduce how to use the Open3D library to realize the method of point cloud demassification, and provide the corresponding source code.

First, we need to install the Open3D library, and import the required modules:

import open3d as o3d
import numpy as np

Next, we can load the point cloud data, and visualize them:

pcd = o3d.io.read_point_cloud("point_cloud.ply")  # 从文件加载点云数据
o3d.visualization.draw_geometries