It *feels* like this should be possible, but I don't know if the math 
actually works out! 
Anyone interested in collaborating?

   1. Take a lot of photos of the night sky with a fish eye camera.  (Don't 
   feel bad if they are a noisy mess because your old GoPro has horrible 
   low-light sensitivity.)
   2. Track the brightest 10 stars using some very naive code (that I 
   wrote) which dumps out 100k worth of alignment points in PTO format
   3. Run autooptimiser on it and go get a coffee.
   4. Run nona on the pano (more coffee)
   5. Now you have a stack of 100 photos, all perfectly (?) rotated and 
   un-distorted that you can sum or do a median filter on, and 
   6. Get a single beautiful picture of the night sky rivaling those people 
   with a huge lens and a motorized camera mount.

I got *public code that works* 
<https://github.com/salamanders/virtual-star-tracker>, and I think it does 
better than any other method I've seen - and doesn't require perfect 
knowledge of your camera's fisheye distortion.  Anyone want to collaborate 
and help make it less naive?
 

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