DECA mean shape model: partly coarse surface

Hi,

I am using DECA for some shape analysis. I am wondering why the resulting reference / atlas shape model appears to have partly coarse surface.

The workflow for comparing 2 groups looks like this:

  • first: using DeCAL to increase the number of points –> up to > 200 from initially manually 20 LM place of both groups
  • second: use the LM_aligned_200points and model_alignes_200points of one group to create an atlas using DECA
  • third: use this resulting atlas for comparing the shape variance between the atlas and the indiviual samples of group 2 using DECA

Maybe the initial number of manually placed LM is too less. Although I checked the initially aligned models based on the 20 LM –> they are well aligned with the resulting first base / reference.

Any idea how to improve the mesh of the reference model?

THANKS!

Best,
Markus

Do you have damage or missing parts in your input models?

Hi,

the models which are used are fine. No issues visible, size 40 MB after decimation, repair, normals recomputation and minor smoothing.

These data is used for generating the reference using DECA.

And the computed reference models are not similar affected showing more or less ripples.
Infact several reference models are derived from different starting data.

In short: the starting data seems to be fine.

Best,
Markus