I have tested several functions, for example "normnd.m". Although it computed the whole point cloud normal, I need the normal vector for each point cloud.
For me the easiest way is;
- Tesselate the point cloud,
- Calculate for each point the neighbourhod of the first level;
- Evaluate the normal at each point as a weighted average of the normals of the triangles incident (see attached paper)
you can calculate the normal vector for each point in a point cloud, using cloud compare software. Then export new point cloud. Nx, Ny and Nz are new columns for your point cloud data.
Also, you can calculate roughness and curvature for each point with this software.
you can use surfnorm function in-built MAtlab function.
https://www.mathworks.com/help/matlab/ref/surfnorm.html
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