I just published the first technical release of NCT Depth Motif , an exploratory computer vision project around RGB-D / depth-map validation.

Repository:

https://github.com/Hanzzel-corp/nct-depth-motif

What is this?

NCT Depth Motif is an experiment that tests whether local depth-map structure can be represented as discrete 3D symbolic motifs across X/Y/Z components.

Instead of treating depth maps only as continuous gradients, the method discretizes local geometric behavior into motif states and then evaluates whether those motifs survive statistically against random baselines.

What is included?

RGB-D / depth-map experiments

NCT 3D motif-survival validation

grouped split validation

RGB-cluster leave-one-out validation

CUDA-accelerated random baseline evaluation

empirical p-values

reproducibility scripts

documented limitations

Current result

The strongest evaluated variant is:

motif_survival_binary

In the current exploratory setup, it showed a consistent positive signal against random motif…