Hi together
Background to my problem.
I am building an SAR application and using the calibrateCamera Methods to calibrate my projector and to my depth camera.
I can only use one planar surface to project my calibration pattern onto so I only can obtain 1 view for the calibration. Surprisingly the reprojection error is quite low and I get a good calibration. As far as I know one needs at least 2 different views of a planar pattern to calibrate a camera.( Zhangs approach)
Now I am asking myself why does this even work at all with only 1 view?
So does anybody know and can explain why it also works with only 1 view of a planar pattern?
Maybe is it because you only need at least 2 views to calculate an initial camera matrix but 1 view is enough for the Levenberg-Marquardt optimization algorithm, when using a good initial camera matrix?
Does anybody know the answer or has any hints