nanoCAD 3DScan Help

Point Cloud Optimization

Reducing the Point Cloud

CAD drafting Point Cloud Optimization 0        Ribbon: Point Clouds – Point Cloud > CAD software Point Cloud Optimization 1 Reducing the Point Cloud

CAD drawing Point Cloud Optimization 2        Menu: Point Clouds > CAD drafting Point Cloud Optimization 3 Reducing the Point Cloud

CAD software Point Cloud Optimization 4        Toolbar: Point Clouds 3DScan > CAD drawing Point Cloud Optimization 5 Reducing the Point Cloud

CAD drafting Point Cloud Optimization 6       Command line: PC_VOXEL_DOWNSAMPLE

 

Decreases the number of points in the selected cloud.

The processing time for large saturated clouds can be unacceptably long. The command allows you to eliminate the excessive saturation of the point cloud - thin out the cloud. The command simplifies a point cloud by breaking it down into cubes (voxels) and leaving only one point in each.

This command differs from the Display all points mode, which only hides the extra points on the screen without modifying the cloud itself. Hiding extra points on the screen speeds up cloud navigation and cloud rendering, but does not affect the running time of cloud processing commands.

The command options are set in the Properties bar.

CAD software Point Cloud Optimization 7

Options:

Cloud size

The number of points in the cloud before simplification.

Downsampling mode

Voxel size – specifies the voxel size. The smaller the voxel size, the more points will remain.

Points count – specifies how many points should remain, and the voxel size is automatically selected.

Points percentage – specifies the percentage of points that should remain.

Cell Size

The size of the conditional cell. The command reduces the number of cloud points by averaging coordinates and attributes in cubic cells of the specified size. The larger the cell size, the fewer points will remain in the cloud and the higher the speed of its further processing.

Select from existing

No - a point is created in each voxel, calculated as the arithmetic mean of the cloud points that fall within it.

Yes - the existing cloud point closest to the arithmetic mean is selected.

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