Hi Bigben and Nadar...
sorry for the delay but I was traveling back from United States to Australia...
If you are sure about the values of your internal orientation (i.e. the camera calibration parameters), I think you should rather keep these fixed and leave the program play only with external orientation. You may obtain worse results in terms of residuals, but will not introduce "strange" camera geometry.
Moreover, I found sometimes problems processing multiple chunks acquired with the same camera: optimised camera calibration parameters are not exactly the same, and I guess this is not good for chunk alignment.
I think this is exactly the point!
Especially for my study case...
I`m trying to build a 3D model of both rims of a 500 meters deep gorge.
I have camera position locations and GCP right to the edge, but nothing (obviously) on the rockwall.
So if I let Photoscan optimize my pointcloud adjusting camera parameters I could affect it with undesired distortions...
More over, aligning different chunks together could introduce even other problems.
The precision of my coordinates has cm accuracy but I already checked and Photoscan doesn`t seem to change them too much.
I didn't know there was a "sensibility" function in Photoscan.
Would be interesting to get new help by somebody else who`s already used it in the past...
P.S.: I`m gonna show you few screenshots of my final models when I`ll finish aligning and process them.
Thanks
Davide