mks0601 / I2L-MeshNet_RELEASE

Official PyTorch implementation of "I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image", ECCV 2020

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Freihand annotation differs from the original anotation

biansy000 opened this issue · comments

Hello, after I download the freihand annotation you provided here, I find that the annotation is almost the same with the original dataset I downloaded from freihand, except that the first three items of theta (refers to global orientation) are different. Is it possible for you to explain why the difference exists? Thanks if you could help.

Hi,

In the original annotation, I remember that the global rotation is a rotation to world coordinate system.
I changed that to a rotation to camera coordinate system.

Could you explain how the rotation is derived? As I do not see any available information in the original dataset I downloaded from freihand.

They provide 3D hand joint coordinates in camera-centered coordinate system. I rigidly align the mesh to the 3D joint coordinates.

I understand the process now, thanks for your quick reply!