Cluster Point Clouds and Output Eligible Point Clouds

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Function

This Step performs clustering on point clouds, and then outputs the point clouds in the clustering results that meet the set rules.

function description

Usage Scenario

This Step is usually used to denoise point clouds of individual objects.

Input and Output

Input

Input port Data type Description

Point Clouds

Cloud(XYZ-Normal)

The original point cloud list for clustering.

Labels

StringList

Point cloud labels (optional).

Output

Output port Data type Description

Processed Point Clouds

Cloud(XYZ-Normal)

The point cloud list after clustering.

Labels

StringList

Point cloud labels (optional; the clustered point clouds will continue to use the labels of the original point clouds).

Parameter Description

Parameter Description

Max Distance between Neighbouring Points

This parameter is used to set the maximum distance between points in a cluster. When this parameter is increased, points that are farther apart will be grouped into the same cluster; when this parameter is decreased, points that are closer together will be divided into different clusters.

Default value: 5.000 mm

Min Number of Points

This parameter is used to filter clustering results. The point cloud will be output only when the number of points in the clustered point cloud is greater than this value.

Default value: 800

Min Ratio of Largest Cluster (0–1.0)

This parameter is used to further filter among all retained clustering results. Only clusters whose point count ratio to the total input point count is greater than this threshold will be output.

Default value: 0.8000

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