lf_synthesize — LIGHTFIELD synthesis op

• 데이터 종류: 없음 → lightfield(인자만으로 정해지는 연산자 —— 이미지나 데이터 입력을 받지 않습니다)

• 호출: import fullseye as fs; fs.ledger.lf_synthesize(slopes=(0.0,), angular=(5, 5), shape=(64, 64), *, occlusion=True, coverage=0.55, texture_sigma=2.0, interp='linear', edge='wrap', seed=0)(구현을 직접 호출하려면 import lightfield; lightfield.lf_synthesize(slopes=(0.0,), angular=(5, 5), shape=(64, 64), *, occlusion=True, coverage=0.55, texture_sigma=2.0, interp='linear', edge='wrap', seed=0), 원장에서 가져오려면 opslightfield.get("lf_synthesize"))

• 원장 경유의 반환값: fullseye.ledger.lf_synthesize(...) 는 선언된 out 형 lightfield 의 값만 반환합니다(실제 함수는 보조 정보도 반환). 버려진 쪽이 필요하면 fullseye.ledger.lf_synthesize.raw(...) 를 쓰거나 lightfield.lf_synthesize 를 직접 호출하세요.

사용법

알려진 기울기를 가진 텍스처 층으로 라이트필드를 만듭니다(시험대).

> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.

Each entry of *slopes* is one fronto-parallel layer, given as its slope s = dx/du in pixels of image shift per angular step; the layer's texture is band-limited noise (Gaussian-smoothed, texture_sigma px) and view (v, u) sees it displaced by (s*(v - v_c), s*(u - u_c)). Because the displacement is exactly linear in the angular index, every downstream answer is closed-form: the refocus sharpness peaks at s, the EPI lines have slope s, and the disparity between the extreme views is s * (U - 1).

*angular* is (V, U) and *shape* is (H, W).

With occlusion=True (default) the layers are composited front-to-back by |slope| (largest |s| = nearest = drawn last) through random binary masks covering roughly *coverage* of the frame, and the layer with the smallest |slope| is forced opaque as the background — regardless of its position in *slopes* (a tie goes to the earlier entry, the sort is stable). (0.0, 2.0) and (2.0, 0.0) therefore describe the same scene with the same slope_map; only the per-layer textures are drawn in a different order. That is what makes a see-through synthetic-aperture test meaningful. With occlusion=False the layers are averaged instead — a transparent superposition, which is the cleanest possible input for refocusing because each layer survives the average untouched.

Returns (light_field, slope_map): the (V, U, H, W) array and the (H, W) map of the front-most layer's slope at each pixel — the ground truth for lf_depth_from_focus and lf_epi_slope. The map is in centre-view coordinates (the masks are stated unshifted, and the centre view is the one view whose shift is zero), which is also the frame a refocused image lands in. With occlusion=False the light field also contains the *other* layers at every pixel, so a depth estimator will legitimately disagree with the map wherever layers overlap; the single-layer case is unambiguous and is what the exactness tests use.

edge="wrap" (default) makes the scene periodic so an integer slope is a pure np.roll and the whole pipeline is bit-exact end to end (measured round-trip error 5.6e-16); edge="nearest" reproduces a real camera's border clamping.

Raises ValueError: an empty or over-long *slopes* list (MAX_LAYERS), a non-finite or over-large slope (MAX_ABS_SLOPE), an angular or spatial shape outside [1, MAX_ANGULAR] / [1, MAX_SPATIAL], a total size over MAX_LF_ELEMENTS, *coverage* outside (0, 1], a *texture_sigma* so large the smoothed texture's dynamic range falls below MIN_TEXTURE_RANGE, and an unknown *interp* / *edge*.

자세한 사용 가이드

• lightfield_depth 패밀리 가이드

참고(샘플 데이터·문헌)

• 샘플 데이터 카탈로그(DL URL / 라이선스) —— 2-D 는 skimage.data(BSD/public)+ 합성, 3-D 는 실데이터 소스(Stanford/PDS 등)의 DL URL.

• 연산자의 내력·참고문헌 —— 이 연산자 족의 바탕이 된 연구/기법의 출처.

• 알고리즘의 정전(저자·연도)과 용도는 위의 패밀리 사용 가이드에 적혀 있습니다.

실행 가능한 예제(이 연산자를 실제로 호출하는 검증된 샘플)

• lightfield_depth — py -3.11 examples/lightfield_depth.py

• poc_compound_eye — py -3.11 examples/poc_compound_eye.py

타입이 이어지는 다음 연산자(lightfield 를 입력으로 받는 것)

lf_to_mla · lf_stats · lf_subaperture · lf_center_view · lf_views · lf_epi · lf_refocus · lf_focal_stack

같은 카테고리(synthesis)

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*Provenance: lightfield.py — LIGHTFIELD 연산자 레지스트리. 이 op 노트는 tools/opdocs.py md 가 자동 생성합니다(직접 편집하지 마세요).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.