I keep asking this - is the object of Alignment stage just that - to get the photos aligned - not particularly to get a ‘good’ point cloud? So that, given good photo alignment, Reconstruction can start afresh, without (much) reference to Alignment’s Sparse Point Cloud, to create the final point cloiud, vertices, depth map etc?
May say, that’s academic, why ask - but for instance I might, in a difficult interior, get photos aligned by sticking distinctive objects on the surfaces. Photos would then align using features detected in those objects, but using few features from the actual walls. So the Sparse Point Cloud would contain little info about the actual interior. But with photos aligned, Reconstruction could then have its second go at the photos, and make much more sense of it?