Have question about the conversion between cam_param and cam_trans

[JosephKKim]

3DCrowdNet_RELEASE/main/model.py

Line 38 in fde86df

def get_camera_trans(self, cam_param, meta_info, is_render):

Hello @hongsukchoi
First, thanks for the nice work you've publicly released!
Currently I'm doing a research on the multi-person reconstruction and while reading your code line by line I encountered the function get_camera_trans which I mentioned above.

As far as I understand, from RotationNet we get cam_param and the function converts it into cam_trans (which stands for camera translation matrix) and again it goes in to get_coord function.

My QUESTION starts here!
I don't understand the exact meaning or assumption of gamma and k_value.
Is there any theory referring to it?

You seems like replying to issues so..
Thanks in advance!

Joseph

[hongsukchoi]

Hi!

You can refer to this paper and code;
https://github.com/mks0601/3DMPPE_POSENET_RELEASE
https://arxiv.org/pdf/1907.11346.pdf

If you are Korean, you can also look on this: https://redstarhong.tistory.com/97

[JosephKKim]

Oh! okay thanks for the fast response! I know the paper 3DMPPE but couldn't connect it with the code.
So in this code RotationNet has the role similar to (but inferencing more parameters than RootNet with its multi-branch) the RootNet in 3DMPPE is that right?

Thanks again for the fast response. It helped a lot.
Best, Joseph.

[hongsukchoi]

Yes, you are right.

As you may know, k value is the scale factor obtained in a closed equitation, and gamma is correcting it in a data-driven way.