Comments (6)
Hi,
Yes, you should provide the transforms. The easiest way to do this is to attach two markers to the opposite sides of a rigid box. In such case one marker can be set to all zeros and the other to rotation (0, 180, 0), and translation (0, 0, thickness_of_the_box).
Once you get an initial calibration using this method you can click refine to get a better estimate. The refinement works best if you constrain the reconstructed volume to only the area of interest, you can do that using the bounds in the settings menu.
Let me know if that helps.
Best regards,
Marek
from livescan3d.
Thank you for your reply!
For calibration part, I had gotten that from your paper.
But as similar with your second paragraph saying, Kinect scanning point cloud seems existing larger intrinsic error. Right?
Because the drift became bigger in rigid box area after ICP refine. (The rigid box area stitches better after only initial calibration without ICP refine).
from livescan3d.
Hi,
I'm sorry but I do not understand your question fully?
Are you saying the error is higher after the ICP refinement?
That might happen for some scenes, as I suggested you might want to try to limit the bounding box.
If that does not work I suggest you do the refinement when a more "complex" object is in the scene, for example a human.
ICP might converge to a bad solution if only a few planes are present.
Marek
from livescan3d.
Hi,
Yes, I talked about error increasing after ICP refinement.
But except local optima problem. What I want to ask is:
Is it possible that there is intrinsic error in Kinect scanning? (i.e Foreground is aligned good after initial calibration but background is aligned bad. After ICP refinement, background is aligned good but foreground is aligned bad)
from livescan3d.
Hi,
Yes that is also possible. One of the sources of such error is the Multipath Intereference.
Marek
from livescan3d.
OK, I also got that interference from your paper.
Thanks for your reply!
from livescan3d.
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from livescan3d.