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HALOWERK OSS OpenCV Paired Point Triangulate
x402
HALOWERK OSS OpenCV Paired Point Triangulate is a paid API for AI agents from medien.halowerk.com, paid per call via x402, $0.002/call, status unknown (last checked 2026-10-30).
Triangulates 3D world positions from matched 2D point pairs in two calibrated camera views using their projection matrices, safely reporting degenerate near-parallel ray cases as null rather than spurious large coordinates.
Price / call$0.002
Success—
StatusUnknown
How this service works
Triangulates 3D positions from corresponding points in two calibrated views using the supplied projection matrices. Degenerate cases are reported honestly: a correspondence whose rays are near-parallel has no finite intersection, and it comes back as null with its position in the finite mask, instead of as an enormous coordinate that silently poisons whatever consumes it. That makes the result safe to feed into a fitting step without a sanity filter of your own.
Output
An array of 3D world coordinate triples (one per input correspondence), with degenerate near-parallel-ray cases returned as null and their indices identified in a finite mask, making the output safe to pipe directly into downstream fitting or optimization steps.
Example use cases
Stereo robot arm 3D localization
“I've got a stereo camera rig on my robot arm. Here are 30 matched feature point pairs from the left and right frames, plus both cameras' 3x4 projection matrices. Can you triangulate the 3D world positions of each point so I can plan the arm's motion?”
Photogrammetry scene reconstruction
“I'm building a sparse 3D point cloud from a calibrated stereo camera pair. I have 200 matched SIFT correspondences and both projection matrices. Triangulate the 3D positions and tell me which ones are degenerate so I can exclude them before fitting my surface model.”
Augmented reality depth estimation
“For my AR overlay I need the real-world 3D coordinates of 15 tracked anchor points visible in both my left and right camera feeds. I have the 2D coordinates in each view and both projection matrices — can you triangulate their positions and mark any that can't be reliably resolved?”
Technical details
Endpoint
POSThttps://medien.halowerk.com/v1/oss-opencv-paired-point-triangulate?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need numerically safe stereo triangulation that explicitly marks degenerate cases as null rather than returning astronomically large but finite coordinates that would silently corrupt downstream fitting. Ideal for stereo vision pipelines, 3D scene reconstruction, photogrammetry, and robotics applications where you supply calibrated projection matrices and matched 2D correspondences and need reliable 3D positions without writing your own sanity filter.
Side effects
- Mismatched array lengths between left_points and right_points returns an error
- Malformed projection matrix (not 3x4) causes a validation error
- All correspondences degenerate (all rays near-parallel) returns all nulls with empty finite mask
- Points outside the valid numeric range (-1e9 to 1e9) are rejected
- More than 2048 point pairs exceeds the maxItems limit and is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| left_points | array | |
| right_points | array | |
| left_projection | array | |
| right_projection | array |
Tags
x402
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