Roughness of 3D Surface
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Matheus de Lorenzo
el 21 de Sept. de 2021
Editada: Bjorn Gustavsson
el 24 de Sept. de 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
el 22 de Sept. de 2021
Editada: Bjorn Gustavsson
el 22 de Sept. de 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
el 24 de Sept. de 2021
Editada: Bruno Luong
el 24 de Sept. de 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.
Bjorn Gustavsson
el 24 de Sept. de 2021
Editada: Bjorn Gustavsson
el 24 de Sept. de 2021
That is not lost on me.
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