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dev:desktop_ext:point_cloud_change_detection [2023/06/27 15:18]
karen [Point Cloud Change Detection]
dev:desktop_ext:point_cloud_change_detection [2023/06/27 15:21] (current)
karen [Parameters: Output]
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 The change between two point clouds can be analyzed by dividing the point cloud in voxels and counting the number of added and removed points within every voxel. The change between two point clouds can be analyzed by dividing the point cloud in voxels and counting the number of added and removed points within every voxel.
  
-Point cloud change detection project files are stored in the same location as the source point clouds+Point cloud change detection project files are stored in the same location as the source point cloud
  
  
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 Add the active point cloud dataset from the dataset list that will be compared with the source point cloud dataset.  Add the active point cloud dataset from the dataset list that will be compared with the source point cloud dataset. 
-===== Parameters: Algorithm =====+===== Parameters =====
  
-=== Voxel Size === +Generic conceptssee [[dev:desktop:preferences:detectors|]] 
- +===== Results =====
-The selected area is divided in voxels with a defined size. For every voxelthe change detection will give information on how many points are added or removed.  +
- +
-For less dense point clouds, a higher voxel size should be used.  +
- +
-=== Voxels Change Pts Min ===  +
- +
-The minimum number of points that should be added or removed in a voxel in order to add the voxel to the result datasets.  +
- +
-=== Voxels Context Min === +
- +
-The minimum number of voxels that should be around a voxel in order to consider the voxel. This is done to exclude isolated voxels. +
- +
-=== Classified point cloud === +
- +
-Include/Exclude classes to be used.  +
- +
-===== Parameters: Output =====+
  
 === Voxel Result ===  === Voxel Result === 
 
Last modified:: 2023/06/27 15:18