depth_to_organized_points — 3D range_image op

• Data kinds: depth → pointmap

• Call: import range_image; range_image.depth_to_organized_points(depth, fx=None, fy=None, cx=None, cy=None) (or ops3d.get("depth_to_organized_points"))

Usage

An organized depth image → grid-aligned 3-D points (H,W,3).

Background guides (the physics and conventions behind this op)

• depth_sensors — 深度センサの知識 — 測距原理・実機の値・欠測の出方

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

Runnable examples (verified samples that actually call this op)

• range_image — py -3.11 examples_3d/range_image.py

Ops the type connects to (they accept pointmap as input)

fuse_to_voxel · bump_normals_fbm

Same category (range_image)

normals_from_depth · occlusion_edges · bearing_angle_image

*Provenance: range_image.py — 3D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

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