Exwayz SOR aims at removing statistical outliers from an input point cloud, such as rain reflection, residual noise or points caused by blooming.
This is a re-implementation of the CloudCompare SOR filter.
| Name | Command line prefix | Default value | Definition |
|---|---|---|---|
| Input point cloud | -i |
Required | Path to the input point cloud in .ply , .las or .laz format. |
| Destination directory | -o |
- | Output directory in which the filtered point cloud will be written. By default, it is written near the input point cloud with _sor_filtered as suffix. |
| Number of neighbors of the KNN search | --knn |
6 | Number of neighbors used in the algorithm. For more information please refer to https://www.cloudcompare.org/doc/wiki/index.php/SOR_filter |
| Alpha parameter of the method | --alpha |
1.0 | Multipler on the standard dev used in the algorithm. For more information please refer to https://www.cloudcompare.org/doc/wiki/index.php/SOR_filter |
| Grid resolution | -s |
5.0 | The only difference between the original algorithm and ours is that we first split the point cloud using a 2D grid and perform the SOR filtering on each sub-point cloud, allowing less errosion on less dense areas. The grid resolution can be set with this parameter. |
| Help | -h |
- | Display the help. |
<input_pc>_sor_filtered.<input_extension> |
Filtered point cloud. |
|---|