Computational Science Asked by whn on January 29, 2021
I’ve been trying to track this down, but google is giving paywall papers that don’t appear to be directly related to computational science, or simply don’t explain the source algorithm.
There’s an account on shadertoy that has been showing off this method, but does not know where it came from and got it from someone else on the site. These are some examples of this method in action:
https://www.shadertoy.com/view/3sdXRX
https://www.shadertoy.com/view/WdcXzS
https://www.shadertoy.com/view/tdtSRB
as far as I can tell, it relies on closest particles to any given point in a cell, but somehow manages to avoid checking more than adjacent particles. I really don’t understand what is going on beyond that.
I just found out about Voronoi particle tracking so i'm definitively not an expert. I just want to share what I have found to help others on there journey.
The author of the posted Shadertoy examples has a blog where he talks about it: https://michaelmoroz.github.io/Reintegration-Tracking/
Some papers that are talking about it are not behind a paywall (anymore) https://core.ac.uk/download/pdf/11143248.pdf and https://www.cs.rochester.edu/u/kautz/papers/voronoi-tracking.pdf
This was shared on the sharetoy facebook group: "For those who would like to understand the magic principle behind Voronoï particle tracking, I commented & refactored 2 different great shaders: https://www.shadertoy.com/view/3ty3Dy https://www.shadertoy.com/view/WtK3zt
These shaders implement to very different ideas:
( Of course you might loose a particle from time to time since collisions are not managed - even if not supposed to occurs in incompressible fluids some do happen, thus some "repopulate void" slow particle creation. + some redundancy in neighborhood thanks to the Voronoï areas, and/or storing 4 partics in RGBA )."
SOURCE: https://www.facebook.com/groups/shadertoy/permalink/567902837124080
Answered by Timo Strating on January 29, 2021
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