Deterministic alignment and non disruptive workflow.
Hi all,
apologies in advance if these queries have already been answered but I couldn't pinpoint them in here. My questions are:
1) Is alignment disruptive if I add a new image to the workflow? I had a set of 20 images that were aligned correctly, then I've added 5 new ones, and now very few images are aligned, how's that possible? It regressed when I've added inputs??
2) Any advice for aligning the back of a person's head? Usually, the hair area is always a shamble, we've tried with hand made markers to no avail, is there a trick to be able to capture a complete 360 head? I've seen many examples online but mostly bald guys, forcing the wearing extravagant hats could help? No ideal though!
3) Changing settings for alignment is a bit hit and miss if those settings will be actually used, sometimes I'm forced to close and restart to see any changes, which adds the confusion of not knowing if the setting was useless or it simply wasn't registered. Is this a knows bug?
4) Is alignment deterministic? It looks to me that with the same settings and the same inputs results may vary? Is this even possible or it's my setup wrong?
Cheers,
Dado.
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Hi,
- Normally adding extra inputs will improve the alignment. It's hard to say what happened here without looking at your specific dataset and the images added.
- Hair and anything semi transparent, reflective or can move around are not great for alignment. If you have a rig and can take all your images simultaneously with a pattern projector you will get way better results.
- You can click on any component and see which alignment settings were used below.
- There can be variations, especially if a previous alignment is cached
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