My computer science masters thesis was based on the same goal. I used a 2D convolution which meant you can merge images with inexact overlaps. I had to run a high-pass filter first to limit the image details to their edges only or else the convolution incorrectly matched bright areas.
In reality merging pictures is further complicated because the source images may be slightly rotated relative to each other and also due to the images being slightly curved due to lens distortion.
My computer science masters thesis was based on the same goal. I used a 2D convolution which meant you can merge images with inexact overlaps. I had to run a high-pass filter first to limit the image details to their edges only or else the convolution incorrectly matched bright areas.
In reality merging pictures is further complicated because the source images may be slightly rotated relative to each other and also due to the images being slightly curved due to lens distortion.
My supervisor wanted me to do a PHD on the topic!