Documentation

This is machine translation

Translated by Microsoft
Mouseover text to see original. Click the button below to return to the English verison of the page.

Note: This page has been translated by MathWorks. Please click here
To view all translated materals including this page, select Japan from the country navigator on the bottom of this page.

Point Cloud Registration

Transform and register 3-D point clouds

You can use pcregrigid to register a moving point cloud to a fixed point cloud. The registration algorithm is based on the iterative closest point (ICP) algorithm. Best performance of this iterative process requires adjusting properties for your data. Before using pcregrigid, consider using pcdownsample to downsample your point clouds, which improves the accuracy and efficiency of registration.

Functions

pcdownsampleDownsample a 3-D point cloud
pctransformRigid transform of 3-D point cloud
pcregrigidRegister two point clouds using ICP algorithm
pcmergeMerge two 3-D point clouds
pointCloudObject for storing a 3-D point cloud

Topics

Point Cloud Registration Workflow

Understand point cloud registration workflow.

Align Two Point Clouds

Apply rigid registration to align two point clouds.

3-D Point Cloud Registration and Stitching

This example shows how to combine multiple point clouds to reconstruct a 3-D scene using Iterative Closest Point (ICP) algorithm.