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Hi,

My question is so : What is the best way to recover all the points of a point cloud (las) within 5 centimeters of a facade (stl)?

Among three ideas, only one seems to work (taking 1h30 of calculation for three million points and 96 facades)

PS: A facade is composed of two triangles in STL format

This idea is to start from the stl, to extract the 6 points of the two triangles, to keep only the 4 unique ones composing the plan thanks to Python

Then go through a "TinGenerator" before using an extruder on either side of the Tin surface in order to "Clipper" the point cloud with the 5 cm extruded planes

But this solution seems particularly time-consuming to me given the lack of input. I therefore seek to simplify this process so that it is more efficient

Best regards, Corentin

https://www.zupimages.net/up/20/22/6jkm.png

Hi @corentin_berge.

It is not unusual for point cloud data translations to take a long time. The article below may provide some help. If there happens to be parts of the point cloud which are not necessary it will make it smaller point cloud datasets that are easier for FME to handle.

https://knowledge.safe.com/articles/1100/tiling-point-cloud-data.html

Hope this helps.

Daragh

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