pith:XC3D5VJF
Analytical Modeling and Correction of Distance Error in Homography-Based Ground-Plane Mapping
Homography perturbations produce distance errors that grow quadratically with true ground distance from the camera.
arxiv:2604.10805 v2 · 2026-04-12 · cs.CV
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Claims
This paper derives an explicit relationship between homography perturbations and the resulting distance error, showing that the error grows approximately quadratically with the true distance from the camera.
The ground is a perfect plane and homography perturbations from manual initialization are the dominant source of systematic distance error, with the quadratic model holding under the tested conditions.
Distance errors from homography perturbations in ground-plane mapping grow quadratically with true distance, with regression correction more accurate and gradient descent more robust in large simulations.
Receipt and verification
| First computed | 2026-06-01T01:03:52.966466Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b8b63ed5257db86d9c95da65175c1ccef5783b59caa6d2aba9dc4631573f65e6
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XC3D5VJFPW4G3HEV3JSROXA4Z3 \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b8b63ed5257db86d9c95da65175c1ccef5783b59caa6d2aba9dc4631573f65e6
Canonical record JSON
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