[vtkusers] Uniform subsampling of mesh (point cloud) and normals

[Sébastien Valette]

Le 06/05/2011 18:13, agerlach a écrit :
> I'll take some time today to look at these solutions. I just want to make a
> simple clarification on what I need. My meaning of uniform sampling is a
> resulting mesh with a roughly constant mesh resolution (defined as the
> average edge length of a triangle). I need to be able to do this without
> specifying the number of vertices needed. From what I can tell ACVD requires
> the desired number of vertices as an input.
I think you could easily overcome this problem by computing the desired 
number of vertices depending on the area of each mesh.

my two cents,

Sebastien


> What I doing is an automatic surface alignment algorithm called the
> Spin-image algorithm. One of the requirements to align meshes is a constant
> mesh resolution shared by all the meshes to be aligned. Because each mesh
> may have a different size in physical units, the number of desired vertices
> may be unknown.
>
> Th stratified mesh sampling looks like it may work. David, do you recommend
> using this: http://www.insight-journal.org/browse/publication/708#
>
> for computing the normals for the input of your reconstruction class?
>
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