depth_to_points — 3D transform op

Data kinds: depthpoints

Call: import match3d; match3d.depth_to_points(depth, fx, fy, cx, cy, stride=1) (or ops3d.get("depth_to_points"))

Usage

Depth map (2.5-D) → point cloud (pinhole back-projection). It connects the depth row to every method.

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)

structured_light_scanpy -3.11 examples_3d/structured_light_scan.py

transforms_reprpy -3.11 examples_3d/transforms_repr.py

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

points_to_voxel · gaussians_to_voxel · estimate_point_normals · to_points · match_points_ncc · match_pca · moment_axes · icp_point2point_3d

Same category (transform)

points_to_voxel · gaussians_to_voxel · mesh_to_voxel · mesh_to_points · voxel_to_mips · voxel_to_mesh · tsdf_from_depth · signed_distance_field


*Provenance: match3d.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.