As part of a learning experience, Im attempting to reverse engineer the techniques used in this video. My setup uses a feedback loop to iteratively translate points along the X-axis, but I’m encountering issues with maintaining precise resets when reinitializing points to their original positions.
I’m using Vector Length to create the Life condition rather than a time-based approach. In the current setup, I’d expect the points to reset exactly at my defined threshold, but this isn’t happening, likely due to floating-point precision . When I change the inputs of the Matte TOP to make the points “stick” to the threshold (e.g., by using Feedback TOP as Input 0), I can observe some deviation in the X value.
If I let the feedback loop run, these deviations accumulate, causing an unwanted stretching effect that increases exponentially with each iteration.
The project file
unravel ur skull.58.toe (9.9 KB)
is attached. This issue is the highest priority right now. Once resolved, my next steps will be to optimize the transformation, integrate acceleration, adjust the birth position of particles, and finally, move on to adding the plexus-style lines.
I’d appreciate any help or improvements to my network!
