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simplifying a pointcloud by 3dgrid

koenvdw
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Hi 

I have a point cloud that I want to simplify. I need 1 point in every 1cmx1cmx1cm space/voxel.

 

I already did something similar, but that was in 2D with point clouds containing only ground points and with the resulting point cloud as some sort of DTM.

In short, I used the 2dgridaccumulator to make a grid. Then I calculated the mean Z value’s of al points in a grid tile and added that value to the centerpoint of that grid. Than I used the vertexcreator to make the new point cloud. 

 

Now I need to do ‘kind of’ the same thing but in a 3D grid…

I was looking at some transformers: pointcloudduplicateremover, pointcloudsimplifier, pointcloudspatialthinner, 3dboundingboxreplacer…

 

I haven’t found a really good way to do this. Anyone with ideas?

 

 

 

 

Best answer by takashi

Hi ​@koenvdw ,

PointCloudSpatialThinner from FME Hub might help you.

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    takashi
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    • takashiCelebrity
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    • June 4, 2025

    Hi ​@koenvdw ,

    PointCloudSpatialThinner from FME Hub might help you.

    Why not inspect features with Visual/Data Preview and Feature/Record Information before writing them into a destination dataset?
    raghavendrans
    koenvdw
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    • koenvdwContributor
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    • June 5, 2025

    Yes, the spatialthinner looks like a viable solution.

    I also tried the pointcloudsimplifier, but it’s so heavy on my machine that it crashes FME. 

    The input is a 7GB point cloud with around 365 million points. 

    My machine is a i9 11900 with 8 cores and 128GB ram and nvidia rtx A4000. So it’s no slug, but it couldn’t handle it. Even weirder is that after the crash my cpu was kept at 100% while I couldn’t see FME as a process anymore.

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