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Structured-Light 3D Imaging (projector-camera triangulation) L1-097

Depth ImagingActive triangulation with coded patternsδ=3 · standardL_DAG = 3.2📋 Stub — not mineable
📋

Unclaimed Principle — open for contribution

This Principle is declared in the catalog but has no reference solver, no pinned dataset, and is not registered on-chain. There is no reward pool. Submitting a cert against this Principle today will record the cert for reproducibility but pay zero PWM.

To claim it as a Bounty #7 contribution: open a PR adding (1) a reference solver, (2) ≥1 dataset pinned to IPFS, (3) updates to the L3 manifest with dataset CIDs. After verifier-agent triple-review, the founders' 3-of-5 multisig signs PWMRegistry.register() and the Principle becomes mineable.

Forward model E

A projector casts a sequence of known patterns onto the scene; a calibrated camera captures K images of the deformed patterns. For each pixel, decoding the pattern ID (Gray-code + phase-shift) assigns a projector column index; triangulating camera ray and projector plane via the calibrated epipolar geometry yields depth.

L-DAG

S.project.pattern -> L.reflect_lambertian -> L.triangulate -> int.spatial
S.project.patternL.reflect_lambertianL.triangulateint.spatial

Well-posedness W

Existence:
true
Uniqueness:
true
Stability:
conditional
κ:
600

Well-posed when K projector-pattern bits exceed log2(W_p) + phase-unwrap margin and surface is Lambertian. Degrades on specular, translucent, dark, and high-frequency surfaces (e.g. hair), in strong ambient light, and at occlusions (camera sees but projector cannot).

Solvability C

Solver class:
Gray-code binary decode + phase-shift sub-pixel, phase-unwrap (TPU), robust decode (graph-cut), learned (SL-Net, DeepSL)
Convergence rate q:
2
Complexity:
O(K * H * W) for decode; O(H * W) for triangulation

Specs (0)

No L2 specs registered yet for this principle.