AI RESEARCH

Analytical Modeling and Correction of Distance Error in Homography-Based Ground-Plane Mapping

arXiv CS.CV

ArXi:2604.10805v1 Announce Type: new Accurate distance estimation from monocular cameras is essential for intelligent monitoring systems. In many deployments, image coordinates are mapped to ground positions using planar homographies initialized by manual selection of corresponding regions. Small inaccuracies in this initialization propagate into systematic distance distortions. 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.