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 !