geom_transform op• 데이터 종류: voxel → voxel
• 호출: import fullseye as fs; fs.ledger.vol_affine(vol, matrix, offset=(0, 0, 0), order=1, output_shape=None, mode='constant', cval=0.0)(구현을 직접 호출하려면 import volxform; volxform.vol_affine(vol, matrix, offset=(0, 0, 0), order=1, output_shape=None, mode='constant', cval=0.0), 원장에서 가져오려면 ops3d.get("vol_affine"))
일반 아핀 재표본화(`scipy.ndimage.affine_transform`).
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
Convention (pinned — read this before writing a matrix): this is
scipy's pull (output -> input) resampler. For every output voxel at
integer coordinate `o = (z, y, x)` the result is the input interpolated
at `matrix @ o + offset`::
out[o] = vol[ matrix @ o + offset ] # (z, y, x) order, voxels
Consequences: `matrix = 2*I` makes the object appear half size (each
output step strides two input voxels); `offset = (1, 2, 3)` moves the
object by `(-1, -2, -3)`. To *push* content through a forward transform
`T (the pose from a registration), pass the **inverse** of T`. The
test suite machine-pins this direction.
*matrix* is either a `(3, 3)` linear part (with *offset* a separate
length-3 translation) or a `(4, 4)` homogeneous matrix
`[[A, t], [0, 0, 0, 1]] — then A / t` are taken from the matrix,
the bottom row must be exactly `(0, 0, 0, 1)`, and *offset* must stay at
its zero default (a second translation would be ambiguous). Any other
shape raises `ValueError`.
*output_shape* defaults to the input shape; an explicit one is cap-checked
against `MAX_VOXELS` before allocation. *order* is the spline degree
(exact integer 0..5). Voxels whose source coordinate falls outside the
input are filled per *mode*/*cval*.
Returns a float64 volume of *output_shape*.
• 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.
• vol_geometry_transform — py -3.11 examples_3d/vol_geometry_transform.py
voxel 를 입력으로 받는 것)voxel_to_mips · voxel_to_mesh · signed_distance_field · to_points · sobel3d · hessian3d · curvature_maps · edt_jfa
geom_transform)*Provenance: volxform.py — 3D 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.