Scalar Field Gradient and Statistics?

[xiangtaoxu]

Hi, is there any plan to add Scalar fields\Gradient functionality?

https://www.cloudcompare.org/doc/wiki/index.php/Scalar_fields%5CGradient

In general, it would be great if there is neighborhood statistics for scalar fields (which I guess is not so different from the current neighborhood geometric statistics functions?)

[prascle]

Hi, I'm adding the Scalar fields\Gradient functionality to my TODO list! Do you have in mind some particular functions for the neighborhood statistics for scalar fields? Paul

[xiangtaoxu]

I think some basic descriptive statistics would be very helpful already, - mean, variance, median/percentile, gradient. For example, I am interested in the variability of point density within a neighborhood (variance of KNN within a radius), which might help to identify boundaries of objects.

If I think of anything, I will add them to this issue. Thanks so much!

[prascle]

Hi, The new version here gives access to the scalar field gradient. I have done nothing more yet, there are already several functions available, I suppose you can compute a variability of point density with that, and I am not sure of what to add. On clouds, you have all the functions corresponding to the CloudCompare menu tools/other/geometric features (see test024.py):

cc.computeApproxLocalDensity(...)
cc.computeCurvature(...)
cc.computeFeature(...)
cc.computeLocalDensity(...)
cc.computeMomentOrder1(...)
cc.computeRoughness(...)

On scalarFields you have the basic:

computeMeanAndVariance
computeMinAndMax, getMin, getMax

after, you have access to a lot of statistics via numpy (percentile, median, histogram...). Paul

[xiangtaoxu]

Thanks so much!