I'm trying to make an image of the southern sky, horizon-to-zenith, south-centered, on the iPhone. As many of the images in the set will have little detail, it's just sky, image-matching stitching will not work well. I'm looking for solutions.
Following the basic outline here, is it possible to skip steps 1 and 2, and build the homography matrix directly? I have the original alignments. It would seem that would solve the problem, as well as dramatically reducing CPU which is an issue on my iPhone.
If that is not possible, my next idea is to make large images containing multiple originals - if they always include the horizon at the bottom they should be able to match OK.
So my main question (finally!)... does OpenCV work OK with wide-angle images like this? If I set my camera so I get 90 vertical I would get 60 degrees horizontal, and with 20 degrees of overlap (less, more?) that means about five images to cover the 180 degree horizon.
Has anyone worked with wide-FOV images like this that has any advice on whether this is a reasonable approach?