essential_8point — 3D `two_view` op

• Data kinds: image2d × image2d → matrix

• Call: import twoview; twoview.essential_8point(pts1, pts2, K1, K2=None) (or ops3d.get("essential_8point"))

Usage

The essential matrix E directly from correspondences and K. → E (3,3).

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_recon — py -3.11 examples_3d/sfm_recon.py

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

fuse_to_voxel

Same category (`two_view`)

fundamental_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).*

essential_8point — 3D two_view op