vertex index of 2D 68landmark map relationship in 3DDFA 3D reconstruction pointcloud

[453875726]

I’ve got 68 landmark posistion information using dlib. Now I want to know their corresponding vertexs' index in 3DDFA 3D reconstruction pointcloud. Does anyone knows how it works? Thx!

[ZHJNCUT]

我使用 dlib 获得了 68 个地标位置信息。现在我想知道它们在 3DDFA 3D 重建点云中对应的顶点索引。有谁知道它是如何工作的？谢谢！

Have you solved it yet?

[453875726]

Yes, But I can't remember clearly.
I read the paper "Face alignment across large poses: A 3d solution" which uses BFM(Basel Face Model).
Therefore I checked https://faces.dmi.unibas.ch/bfm/bfm2019.html.
At last I got an Excel file which shows 68 BFM face pointcloud landmark vertexs responding to 2D face landmarks.
landmarks.xlsx

[ZHJNCUT]

Sorry, this link cannot be opened, could you check it and send it again
Also, the pose parameter of the 300W-LP dataset is 7 dimensional
However, in the implementation code of the 3DDFA paper, the 12 dimensions of regression are used directly
I don't know the connection, do you know this? There are many people asking this question on github, but I can't find the answer, can you help me

[453875726]

BFM's link is as follow:
https://faces.dmi.unibas.ch/bfm/bfm2019.html

However, I don't know why the demensions of paper and its implementation code is different.

[ZHJNCUT]

BFM的链接如下： https://faces.dmi.unibas.ch/bfm/bfm2019.html

但是，我不知道为什么纸张的尺寸和它的实现代码不一样。

Ok, thank you. I saw that the code evaluation scheme in 3DDFA only has two-dimensional feature points (NME) error, there is no three-dimensional vertices (NME) error, I learned that the normalization of the calculation of three-dimensional vertices (NME) error is: the three-dimensional outer eye spacing of the face, you know how to find this, its index values are how much?