Open3D point cloud distance calculation details
Open3D is an open source library for 3D data processing, which provides rich functions to process and visualize 3D data, including point cloud data. Computing the distance between point clouds is an important task in 3D computing and can be used in various applications such as object recognition, scene segmentation and registration, etc. This article will introduce in detail how to calculate the distance between point clouds in Open3D, and provide 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 start to use Open3D for point cloud distance calculation.
In Open3D, point cloud data is expressed in the form of PointCloud class. We can create PointCloud objects by loading point cloud files or manually constructing point cloud data. The following is a sample code to load a point cloud file in PLY format:
import open3d as o3d
# 加载点云文件
point_cloud = o3d.io.read_point_cloud("point_cloud.ply")
# 可视化点云
o3d