Performance degradation after optimization and alignment errors

[mrv2020]

Hi Alexey,

Some image sets are aligned incorrectly in version 2.2, but I only notice the misalignment after generating the DEM, so I use markers to manually realign.

So two things happen: if realignment optimization has already been applied, it takes an excessive amount of time to complete the manual alignment compared to a set that has not been optimized.

And another situation is that if a set has images without coordinates, they will almost always not be aligned with the others. I did a test in version 1.8.6 and the same dataset was aligned the first time and without any imperfections, with the DEM smooth and wrinkle-free.

Another test was activating the adaptive camera with a set that has more than one type of lens or camera model, the alignment always fails in version 2.2.1 requiring intervention with markers to correct even if they have precise coordinates, and again in 1.8.6 it passed perfectly the first time.

And when version 2.2.1 finishes the alignment, I notice that the global error is 0.23m and after optimization it reaches 0.048m. With filtering, we reach 0.02m. In version 1.8.6, the accuracy is 0.0186m the first time without needing to optimize after alignment.