triangulate — 3D two_view op

Data kinds: image2d × image2dpoints

Call: import twoview; twoview.triangulate(pts1, pts2, P1, P2) (or ops3d.get("triangulate"))

Usage

DLT triangulation: correspondences from two views plus the projection matrices → 3-D points. → (N,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)

sfm_reconpy -3.11 examples_3d/sfm_recon.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 (two_view)

fundamental_8point · essential_8point · recover_pose · sampson_distance


*Provenance: twoview.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.