polarization op• Data kinds: image2d × image2d → polsweep
• Call: import fullseye as fs; fs.ledger.polarization_render(diffuse, specular, angles_deg=(0.0, 45.0, 90.0, 135.0), azimuth_deg=0.0) (implementation को सीधे call करना हो तो import specularity; specularity.polarization_render(diffuse, specular, angles_deg=(0.0, 45.0, 90.0, 135.0), azimuth_deg=0.0), registry से लेना हो तो opsspecular.get("polarization_render"))
polariser sweep का forward model: एक ज्ञात split को उन frames में बदलता है जिन्हें polarisation camera record करता। → (N, H, W)।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
I(t) = 0.5 * diffuse + specular * cos^2(t - azimuth). The diffuse term is treated as completely unpolarised, so it contributes half its radiance at every analyser angle; the specular term is treated as completely linearly polarised at *azimuth_deg*, so it follows Malus's law. Those are the two
assumptions polarization_separate inverts, and rendering with them is how the inversion gets a ground truth to be exact against.
Physically the assumptions hold near Brewster's angle for a dielectric and fail at normal incidence; the module docstring says where. This operator does not model the incidence angle at all — it takes the two radiance maps you specify and produces the sweep they imply.
Raises ValueError: *diffuse* / *specular* are not 2-D arrays of the same shape, or are complex / masked / non-finite / string-typed; either has a negative value (a negative radiance is not a scene); *angles_deg* has fewer than 3 entries or does not determine the three unknowns.
• specular_photometric family guide
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• poc_polarization_specular — py -3.11 examples/poc_polarization_specular.py
• specular_photometric — py -3.11 examples/specular_photometric.py
polsweep को input के रूप में लेते हैं)polarization_separate · polarization_dolp_map · polarization_stokes
polarization)polarization_separate · polarization_dolp_map · polarization_stokes
*Provenance: specularity.py — SPECULAR operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.