Intersection or Overlapping part lookup of two point clouds (with open3d python code)

Option 1

use compute_point_cloud_distance: It calculates the distance from each point in the source point cloud to the closest point in the destination point…

Point Set Registration — CPD (Coherent Point Drift) (with python code)

The Coherent Point Drift (CPD) algorithm is a point cloud registration algorithm for aligning two point clouds. The algorithm was first proposed by Myronenko and Song in 2009.

Fit a point cloud 3D sphere and output its center coordinates and radius (with open3d python code)

We uses an algorithm to fit a three-dimensional sphere in a point cloud data , and outputs its spherical center coordinates and radius, and visualizes the fitting…

Subtract two point clouds to find duplicate and non-duplicate points (C ++ Python code)

Two point clouds A, B subtract, in fact, is to find the two point clouds in the repeated point and non-repeating point, remove the repeating point in A is to subtract the point…

Boundary extraction of point cloud data (with PCL C ++ code)

The main function of the code is to extract the boundary of the point cloud data and display the boundary extraction result through visualization. The main flow is as follows:

Load point cloud data…

Rough calculation of the volume and surface area of a PCD point cloud (inexact calculation, Python code)

The point cloud data is read for convex hull computation, and the compute_convex_hullmethod of the PointCloudobject is used to return the index of the…

STL, obj, ply triangular facet 3D model sampling point cloud data (with open3d python code)

The process is as follows:

Read a triangular patch model from the Open3D library and store it in the meshvariable.

Point search of point cloud pillar shape or Columnar shape

Idea: Read the point cloud data , set a dimension in the point cloud data to 0, generate a new point cloud data, and establish a KDTree index on it. Given the query point and perform a radius search on the query point.

Obtaining concave and convex polygon boundaries for point clouds (with open3d python code)

First declare that the polygon of the point cloud must be obtained on the basis of the plane point cloud. You can project the point cloud to the plane, or you can directly…

Mesh simulation adds noise data and performs denoising according to the number of each triangle cluster (with open3d python code)

This article performs segmentation and denoising on the triangular mesh model, including the following main…