Anyone know the algorithmic approach to finding this? I assume they ran an ML over the dataset with a search function to figure it out.
lol.
Thanks for this breakdown, it was super interesting to read about what signal processing techniques are used for this kind of thing!
How does the actual "searching" take place, do they just run this kind of procedure at every bright spot in the image and rank candidate sections?
Also thanks for the detailed response - their approach sounds like a smart solution minimizing unnecessary compute cost / algorithm scanning.