Mesh and Detection point mismatch (slight mismatch acceptable?)

[Dipankar1997161]

Hello @chingswy , Hope you doing well.

So apparently, I was able to project human3.6m groundtruth and got the smpl reconstructed. However, there is a slight mismatch in the 4 cameras' output. Camera 01 and 03 (Back camera detection is more accurate and Camera 4 is the worst of all) The same joint (nose and head, appear at two separate sides on the right side of images)

lets say: The acutal R matrix is 
  
  'R':[array([[-0.91536173,  0.40180837,  0.02574754],
         [ 0.05154812,  0.18037357, -0.98224649],
         [-0.39931903, -0.89778361, -0.18581953]])
  
  I used this: 
  
  data: [-0.915, 0.402, 0.026, 0.052, 0.180, -0.982, -0.399, -0.898, -0.186]

Even though I gave the correct joint coordinate, the 4th camera image, Thorax/Neck joint is incorrect while it is correct in the rest of the images.

Could this be a possible error in the Camera Parameter values? If the coordinate values were wrong, then it should be wrong in all of them. But the 4th camera output is yielding a slight mismatch in comparison with the rest.

Can you clarify if this is the case? if any other let me know. Or this slight mismatch is acceptable?