Get Average Normal and Center
Function: Get the normal and center point of the point cloud average
Input Parameters:
| Name | Type | Valid Range | Default Value | Meaning |
|---|---|---|---|---|
With Normal Point Cloud |
NormalPoints |
None |
None |
With Normal Point Cloud |
Output Parameters:
| Name | Type | Valid Range | Default Value | Meaning |
|---|---|---|---|---|
[Average] |
List |
None |
None |
The average normal direction of the directional point cloud, the format is N * 3, N represents multiple point clouds, and 3 represents the xyz value of each point cloud normal direction |
Point cloud center point |
List |
None |
None |
Point cloud center point, format Nx3, N represents multiple point clouds, 3 represents the xyz value of each point cloud center point |
Parameter Settings:
| Name | Type | Valid Range | Default Value | Meaning |
|---|---|---|---|---|
Average normal method |
String |
['Direct Mean', 'Clustered Mean'] |
Clustered Mean |
The normal calculation method of the point cloud average. The direct average is the normal calculation average for all, and the clustering average is the clustering |
Center point type |
String |
['Point cloud mean', 'Point cloud median', 'Max-Min Median'] |
Point cloud mean |
Returns the type of the result center, the point cloud mean refers to the center mean of the point cloud that returns the bounding box, the median of the point cloud returns the median of the point cloud that calculates the bounding box, the maximum and minimum median refers to the sum of the maximum and minimum values of the points in the fitting plane divided by 2 |
Cluster comparison threshold |
Float |
[0, 1000] |
0.1 |
Clustering comparison threshold, effective when the average normal method is the clustering average, this value will be used to compare the gap between the current normal and the clustered results, generally use the default value |