Question about the data provided by the given link about surfmnet HOT 6 OPEN

Hi,

Both are correct :) in GeomFmap code, we compute the tranposed eigen vector and thus we need to multiply with mass matrix. For this code, transposed vectors are already precomputed and thus already multiplied with mass matrix before.

from surfmnet.

Do you refer to the aligned dataset we provide? Aligned dataset was manually aligned in meshlab given original Faust remesh and Scape remesh.

from surfmnet.

Hi,

Both are correct :) in GeomFmap code, we compute the tranposed eigen vector and thus we need to multiply with mass matrix. For this code, transposed vectors are already precomputed and thus already multiplied with mass matrix before.

Thanks for your reply. But when I check the eigenvectors and eigenvalues generated by MATLAB code provided in GeomFmap and the already precomputed one in SURFMNet. I think they differ a lot and I also check the .off mesh files between GeomFmap and SURFMNet, I think the vertices positions are also different.

from surfmnet.

Hi,

Thanks for letting me know. This should not be the case except if GeomFmap did some unit normalization or something. I will double check after Cvpr deadline.can you also check this data: https://github.com/Not-IITian/Weakly-supervised-Deep-Functional-map

from surfmnet.

Hi,

Thanks for letting me know. This should not be the case except if GeomFmap did some unit normalization or something. I will double check after Cvpr deadline.can you also check this data: https://github.com/Not-IITian/Weakly-supervised-Deep-Functional-map

Thanks for your reply. I use the MATLAB code provided in GeomFmap to run on the .off data in https://github.com/Not-IITian/Weakly-supervised-Deep-Functional-map and also the .off data provided by this repository. I get the same eigenvectors and eigenvalues as use the .off data provided by GeomFmap. But they are different compared with the eigenvectors and eigenvalues provided by this repository.

from surfmnet.

Hi,
Thanks for letting me know. This should not be the case except if GeomFmap did some unit normalization or something. I will double check after Cvpr deadline.can you also check this data: https://github.com/Not-IITian/Weakly-supervised-Deep-Functional-map

Thanks for your reply. I use the MATLAB code provided in GeomFmap to run on the .off data in https://github.com/Not-IITian/Weakly-supervised-Deep-Functional-map and also the .off data provided by this repository. I get the same eigenvectors and eigenvalues as use the .off data provided by GeomFmap. But they are different compared with the eigenvectors and eigenvalues provided by this repository.

I also check the python version code provided by https://github.com/pvnieo/SURFMNet-pytorch/tree/master/surfmnet. I think the results are the same as the MATLAB version in GeomFmap.

from surfmnet.