Hi all,
I won't bore you all with details of why I'm doing this, but I'm trying to reconstruct the Notre-Dame de Paris with nothing but photographs downloaded from Wikimedia Commons. This means all kinds of cameras, settings and positions with photographs that are literally decades apart, with and without the roof (RIP).
So far I've been pretty successful, all things considered. I've matched 1.1k images (out of 2.8k I downloaded). But I'd like to see if anyone has suggestions to make the end product more accurate.
One bump in the road I've hit is that some photographs just won't match correctly. The attached image isn't showing this well, but the sparse cloud shows some "ghosting" of the west (main) façade - there's an alternate version of it that just continues straight as if it it were part of the south façade (Imagine you're looking at a plan - where there should be a L, there's a _L, where the _ is a ghost west façade aligned south.
I've created 14 markers and marked each of them on multiple photographs - as many as I can in each one. I tried finding all pictures that show this corner of the building so that markers on both façades are mapped multiple times. I'm not sure though what the best practice is after that - do I just optimize cameras, do I run "gradual selection" and take out some bogus points beforehand, or do I reset alignment and run it again? I've tried a little bit of each but no luck so far. The sparse cloud seems to be getting worse, not better D=
Any tips or questions are welcome.
Cheers.