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Allright, I'll try and find another way to do it.

Merci de prendre le temps de répondre à mes questions.

Meanwhile there would the possibility to "remember" that the cloud was structured (basically saving the grid dimension and angular steps as "meta-data") and then projecting the points back to their 'original' 2D scan world when exporting as E57 (or PTX). I was thinking of using ...

Hi, Using the command line utility, is there a way to keep an E57 gridded after manipulations? here's the context : We have Large point clouds (20-50gb) that we clean with an in-house decimation tool to reduce the size without loosing quality of the data (down to 4-10gb). To clean outliers and noise...

Great Thanks!

Any plans to add PCL commands in the command line?

Thanks! I found a workaround using the command line as follow : cloudcompare -o Test1.e57 -MERGE_CLOUDS -C_EXPORT_FMT E57 -FILTER_SF 0.05 0.980 -DENSITY 0.01 -TYPE KNN -FILTER_SF 10 MAX -FILTER_SF removes very low and very high intensity (which are usually off using our scanner) -DENSITY 0.01 -TYPE ...

Hi there,

Is there a step by step guide on how to reduce Point Cloud noise ?

is there a way to use this functionality using the command line ?

Thanks