The nearest point calculation of point cloud and triangle in Open3D
In recent years, with the rapid development of 3D vision and deep learning, the demand for processing point cloud data is increasing. As a powerful open source library, Open3D provides a series of convenient and easy-to-use tools for processing, visualizing and analyzing point cloud data. This article will introduce how to use Open3D to calculate the closest point between a point cloud and a triangle, and attach the corresponding source code.
First, we need to import the Open3D library, and load the point cloud and triangle model. Suppose we have a point cloud data file "cloud.ply" and a model file "model.ply" containing triangle vertices and index information.
import open3d as o3d
# 加载点云和模型
cloud = o3d.io.read_point_cloud("cloud.ply")
model = o3d.io.read_triangle_mesh(