Haha, fair question. No, just a human who tends to write in complete paragraphs.
I've been experimenting with the generator as a side project and got curious about how these stereograms actually work under the hood.
That makes sense. Using a depth map first sounds almost inevitable for keeping the repetition stable enough for the visual system to lock onto it.
What I always find interesting with these images is how sensitive the brain is to those horizontal disparities. Even tiny shifts create a surprisingly strong sense of structure once the eyes fuse the patterns. It really highlights how much of “seeing” depth is reconstruction rather than direct perception.
Do you generate the depth maps manually, or are they derived procedurally from some model or scene description?
The idea started from a simple observation: people often feel that their luck changes depending on time, context, or even certain types of events.
But most of the time we only remember a few outcomes, which makes it hard to see whether any real pattern exists.
So I started collecting large numbers of small “luck events” using virtual lottery simulations and comparing them with real lottery results from different countries. Over time this creates a dataset where you can look at distributions, streaks, clustering and other patterns.