I have thought that the translation parameters work as a translation of the rigid head in the original image coordinate(each x, y, z axis).
However, the generally, when we get the 3DMM parameters from the 3DMM parameter encoder(Deep3Dpytorch), the head images are should be aligned from specific alignment algorithm to regular window.
Then, the translation parameters are extracted from the that window, which has no relationship with the original image or the window position(before the alignment).
How the translation parameters work well on this model?
I think that the position of alignment bounding box from the original image also must be considered with the translation parameter.
Thanks.
I have thought that the translation parameters work as a translation of the rigid head in the original image coordinate(each x, y, z axis).
However, the generally, when we get the 3DMM parameters from the 3DMM parameter encoder(Deep3Dpytorch), the head images are should be aligned from specific alignment algorithm to regular window.
Then, the translation parameters are extracted from the that window, which has no relationship with the original image or the window position(before the alignment).
How the translation parameters work well on this model?
I think that the position of alignment bounding box from the original image also must be considered with the translation parameter.
Thanks.