Hello,
I am subtracting two point clouds and am finding some extreme errors in my M3C2 subtraction where there are no points located in the original point clouds.
Here is the M3C2 difference between the two clouds. This projection is using the mesh 2.5D best fit with 1m max edge length to visualize the error.
As you can see there are the pinnacles of red and blue which are a difference of more than 5m (impossible at that spot).
As you can see from the point cloud, that there are no points in those areas to create that pinnacle. First is the baseline, the next is baseline overlaid with M3C2
My parameters for the M3C32 is as follows: I used the "guess parameters" feature and it provides a value double my point cloud density distance.
These are SfM point clouds and thus using the PM. I selected yes to use the precision maps.
Is there a way to flatten out those spots without losing resolution? Why are they occurring in the first place with no floating points to account for?
Any help with this would be wonderful, thank you!
Subtraction Errors found in M3C2
Re: Subtraction Errors found in M3C2
Sorry, I'm confused: what do you mean by subtracting? Due to how M3C2 works, the 'pinnacle' points are necessarily coming from the original cloud (and from the same cloud as the other points). Isn't it simply noise?
Daniel, CloudCompare admin
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Re: Subtraction Errors found in M3C2
Sorry, subtracting is the wrong term with M3C2, but calculating the difference between two clouds. How do you limit the noise? Is there a step in running M3C2 that I can take? I have tried increasing the diameter of the normals and projection but I get the same thing.
Thanks
Thanks
Re: Subtraction Errors found in M3C2
So the easiest is to use the 'Tools > Clean > SOR' filter. Or, the scissors tool and do it manually?
Daniel, CloudCompare admin