polarization op• データ種: image2d × image2d → polsweep
• 呼び出し: import specularity; specularity.polarization_render(diffuse, specular, angles_deg=(0.0, 45.0, 90.0, 135.0), azimuth_deg=0.0) (または opsspecular.get("polarization_render"))
偏光板回転の順モデル: 既知の分離を、偏光カメラが記録するフレーム列にする。→ (N, H, W)。
> 以下の詳細説明は原文のままです —— 要約と見出しは訳出済み。
`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 :func: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 ファミリ ガイド
• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。
• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。
• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。
• poc_polarization_specular — py -3.11 examples/poc_polarization_specular.py
• specular_photometric — py -3.11 examples/specular_photometric.py
polsweep を入力に取れる)polarization_separate · polarization_dolp_map · polarization_stokes
polarization)polarization_separate · polarization_dolp_map · polarization_stokes
*Provenance: specularity.py — SPECULAR operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.