Open3D calculates surface roughness of point cloud
In the field of 3D data processing and computer vision, point cloud is an important data form, which consists of a large number of points and represents the surface shape of an object. The surface roughness of the point cloud is one of the indicators describing the smoothness of the surface between points in the point cloud. This article will introduce how to use the Open3D library to calculate the surface roughness of the point cloud, and give the corresponding source code.
First, we need to install the Open3D library. It can be installed using pip with the following command:
pip install open3d
After the installation is complete, we can import the Open3D library and load the point cloud data. Suppose we have a point cloud file "cloud.ply", which can be loaded using the following code:
import open3d as o3d
# 加载点云数据
point_cloud = o3d.io.read_point_cloud("cloud.ply")
Next, we will preprocess the point cloud data to better calculate surface roughness. Preprocessing includes two steps of downsampling and normal estimation.