fundamental_8point — 3D two_view op

• Data kinds: image2d × image2d → matrix

• Call: import twoview; twoview.fundamental_8point(pts1, pts2) (or ops3d.get("fundamental_8point"))

Usage

Estimate the fundamental matrix F by the normalised eight-point algorithm (rank 2 enforced). → F (3,3). At least eight points are needed.

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)

• two_view_pose — py -3.11 examples_3d/two_view_pose.py

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

fuse_to_voxel

Same category (two_view)

essential_8point · recover_pose · triangulate · 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.