Scalar Field New Trim, vertical count.

To post any request/idea for new functionalities
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orinn
Posts: 31
Joined: Thu Sep 12, 2013 6:44 pm

Scalar Field New Trim, vertical count.

Post by orinn »

Great and powerful Daniel,

I would like the ability to trim points based on the vertical count in the Scalar Field. Anything that fell below the red line could be trimmed out. I could find no way to do this currently but know the information is there in the histogram. I could also find nothing in the ToDo list that shows a feature like this. Ideally this would purge the the points that fell below the line
CloudCompareTrim.JPG
CloudCompareTrim.JPG (224.22 KiB) Viewed 2914 times
So I would have soemthing like this after
CloudCompareTrim2.jpg
CloudCompareTrim2.jpg (34.62 KiB) Viewed 2914 times
Thank you for your time consideration
daniel
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Location: Grenoble, France
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Re: Scalar Field New Trim, vertical count.

Post by daniel »

That's an interesting idea, even though I'm not sure what you would get as a result?

You'll have to try to motivate me a little bit more if you want me to hack CC in this way ;).
Daniel, CloudCompare admin
orinn
Posts: 31
Joined: Thu Sep 12, 2013 6:44 pm

Re: Scalar Field New Trim, vertical count.

Post by orinn »

Im a little unsure of what I might get too. My goal was to identify walls and floors using it.
It made sense by converting the height value to SF, that when the points clustered together I would see floor, drop ceiling, and actual ceiling.

First I convert Z to SF
Capture1.JPG
Capture1.JPG (173.07 KiB) Viewed 2887 times


Then I trim to the spikes
Capture2.JPG
Capture2.JPG (191.59 KiB) Viewed 2887 times
From the side it looks like
Capture3.JPG
Capture3.JPG (124.99 KiB) Viewed 2887 times
orinn
Posts: 31
Joined: Thu Sep 12, 2013 6:44 pm

Re: Scalar Field New Trim, vertical count.

Post by orinn »

I was hoping to use it on walls, this is a much longer manual process. But here it is run on one axis.

It would be like the labeled connected components tool, but instead of looking for clusters or points, it looking at clusters of SF results.
y1.JPG
y1.JPG (217.91 KiB) Viewed 2887 times
y2.JPG
y2.JPG (244.99 KiB) Viewed 2887 times
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