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> It's even simpler to make artificial neurons vote for a circle center. Is it? It's not conceptually simpler: people can more easily imagine circles around
by csdvrx 5y ago
> It's even simpler to make artificial neurons vote for a circle center.
Is it?
It's not conceptually simpler: people can more easily imagine circles around points converging to a center, so they can also put that idea into code more easily.
> you can apply the method to other shapes as well.
Yes you can. Read about Hough.
I just presented the one that is the most enlightening.
I may be biased against neural network approaches and their likes, because I see them as black boxes with failure modes that are hard to predict or work around: I prefer what I can understand and explain, and unfortunately, it seems at odd with the current demographics of ML (cf https://news.ycombinator.com/item?id=27361812 https://news.ycombinator.com/item?id=27361812 ) who has no clue about what makes these black boxes tick, sometimes even after they get a PhD in the dark art of tweaking black boxes.
- edge17 5y agoOne of the nicer things about the hough approach is also that you can get a bunch of other information from parameter space, like horizon lines and vanishing points.