fullseye

polarization_render — SPECULAR `polarization` op

データ種: image2d × image2d → polsweep
呼び出し: import fullseye as fs; fs.ledger.polarization_render(diffuse, specular, angles_deg=(0.0, 45.0, 90.0, 135.0), azimuth_deg=0.0) (実装を直接呼ぶなら import specularity; specularity.polarization_render(diffuse, specular, angles_deg=(0.0, 45.0, 90.0, 135.0), azimuth_deg=0.0)、台帳から引くなら opsspecular.get("polarization_render"))

使い方

Forward model of a polariser sweep: turn a known split into the frames a polarisation camera would record. → (N, H, W).

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.

詳しい使い方ガイド

specular_photometric ファミリガイド

参考(サンプルデータ・文献)

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。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

poc_polarization_specular — py -3.11 examples/poc_polarization_specular.py
specular_photometric — py -3.11 examples/specular_photometric.py

型が繋がる次の op(`polsweep` を入力に取れる)

polarization_separate · polarization_dolp_map · polarization_stokes

同カテゴリ(`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)。

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