Roughness of 3D Surface
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Matheus de Lorenzo
on 21 Sep 2021
Edited: Bjorn Gustavsson
on 24 Sep 2021
Hello everyone,
I would like to calculate the salience (or roughness) from a 3D object recovered from spacial cordinates (x,y,z) cloud. The data represents a closed 3D rough surface object, meaning that the noise/roughness is not unique to the z component, so it cannot be represented just as a projected z(x,y) surface. It is a true closed shell data set in euclidian space.
The objective is to watermark zones where there would be high local noise value. I've done this with z(x,y) surfaces, but I could not find, at first, if there are any efforts in that direction within the community.
If anyone have pointers regarding this assessment I thank you in advance !
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Bjorn Gustavsson
on 22 Sep 2021
Edited: Bjorn Gustavsson
on 22 Sep 2021
There are a number of hits returned when searching for "curvature" on the file exchange. The gptoolbox seems to have a bunch of tools for topographical(topological?) tasks. Some might be useful for your task. Perhaps this one: curvature-estimationl-on-triangle-mesh - if you have a general surface you ought to be able to approximate it with a triangle-mesh (not topology-general, but "every-day general"...)
HTH
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Bruno Luong
on 24 Sep 2021
Edited: Bruno Luong
on 24 Sep 2021
???? differ to what?
The roughness is measured by an probe that scan (x,y) and for each position the probe measure the heigh z(x,y). The roughness is derived from the data z(x,y) and intended to be used to access the quality/characteristics of the polishing subject by surface such as optical surface, tribology surface , etc.... It's an industry metrology standard, not a rigouruous math definition that defines for fancy surface like yours.
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