Deterministic alignment and non disruptive workflow.

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    Wallace Wainhouse CR

    Hi,

    1. 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.
    2. 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.
    3. You can click on any component and see which alignment settings were used below.
    4. There can be variations, especially if a previous alignment is cached

     

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