Open3D: Convert point cloud data to depth image
In recent years, point cloud processing has been widely used in computer vision and robotics. Point cloud is a collection of a series of 3D coordinate points acquired by laser scanning or depth sensor, and is often used for tasks such as reconstruction of 3D scenes, target detection and recognition. However, in some cases, point cloud data needs to be converted into depth images for more convenient analysis and processing. This article will introduce how to use the Open3D library to convert point cloud data into depth images, and provide related source code examples.
First, we need to install the Open3D library. The latest version of Open3D can be installed via the pip command:
pip install open3d
After the installation is complete, we can start writing code. The following is a simple sample code showing how to convert point cloud data into a depth image:
import open3d as o3d
import numpy as np
# 加载点云数据
point_cloud = o3d.io.read_point_cloud("point_cloud.ply"