typed op• 데이터 종류: rgbimage → rgbimage
• 호출: fullseye.apply(img, "tb_specular_free_transform", a=0.5, b=0.5)(2-D 는 이미지 1 장 + 스칼라 노브 2 개 a,b∈[0,1] 모델)
광원 방향 성분을 투영하여 제거: 하이라이트가 닿을 수 없는 이미지 부분. → (H, W, 3).
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
`I - (I.G) G for the unit illuminant colour G`. Under the dichromatic
model the interface term is `m_s * G`, so it lies entirely in the removed
direction and the result is invariant to any specular term whatsoever —
exactly, for any lobe shape, any strength, any spatial pattern. That is the
specular-invariant subspace of Mallick et al. (2005); this operator is the
projection itself, with no rotation into named channels, so it stays in RGB
and composes with the rest of the family.
Use it when the *shape* of the specular lobe is unknown or the surface is
textured — feature matching, edge detection and correlation all work in this
subspace without any of the assumptions
:func:specular_diffuse_split needs.
This is a projection, not a picture. The result loses one of three
degrees of freedom (its component along `G` is exactly zero everywhere)
and, for an image with negative values after black-level subtraction, keeps
them. It is not a displayable "highlight-removed photo" and does not claim
to be; for that, use :func:specular_diffuse_split.
Raises `ValueError: *image_rgb* is not a valid (H, W, 3)` linear
RGB image (see :func:specular_diffuse_split); *illuminant_rgb* is not a
non-zero 3-vector.
Typed bridge of the specular op `specular_free_transform into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. This op has no tunable parameter; a and b` are unused.
• 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.
• (아직 없음)
rgbimage 를 입력으로 받는 것)identity · tb_wetness · tb_sensor_capture · tb_specular_diffuse_split · tb_specular_coefficient_map · tb_rgb_to_quaternion
typed)tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal
*Provenance: ops.py — 2D 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.