Closed sonukiller closed 11 months ago
You could. That would be closer (but still different) from the memoryless version of our method. More details can be found here https://www.cs.wm.edu/~ppeers/publications/Shoemaker2023IMS/Shoemaker_ARXIV2023.pdf
Thank you for sharing the IMS paper, actually I was looking into that. Do you know what changes can be made in the transportation cast for this?
This should be easy, you just need to compute cost
using the element wise summation of Gaussian curvature difference dK
in here.
This will ignore the transport and solely focus on the difference in Gaussian curvatures.
You would need to do the same change for the following functions
pre_flatten_interior_vertex_and_cost
flatten_interior_vertex_and_cost
pre_flatten_boundary_vertex_and_cost
flatten_boundary_vertex_and_cost
and commenting out the parts about parallel transport. Hope I don't miss anything. Thank you for the explanation. If I comment out the parts about parallel cost from here, two variable fs_twin
and Rij
are used in the code after that also, so shall I make Rij as unity matrix or anything else is required?
Oh, I think you can comment out the part from l168 to l216 in this script. This part keeps track of the curvature transport history (stored as T
) and uses the historical information to compute cost
(l204-l213). R
is the rotation needed to compute parallel transport. Since you are not using the transport cost, all the code from l168-l216 won't be needed (this also applies to other scripts such as faltten_bopundary_vertex_and_cost
)
Thank you for the explanation. So, the cost will be dK.sum()
, is it right?
I think so :)
I wanted to know if we can only use absolute Gaussian curvature to remove the vertex.