arXiv:2611.04822 · v1

Radial distortion homography estimation from affine-covariant or orientation-covariant features

首次提交 2026-11-03 20:50

版本更新 2026-11-03 20:50

雷达观测 2026-11-04 23:39

摘要

We present minimal solvers for joint homography and radial distortion estimation using affine- or orientation-covariant features. The core contribution is a set of novel constraints that exploit local feature geometry inherent to affine descriptors, enabling solvers that require fewer correspondences than point-based methods. Using modern robust estimation frameworks, we demonstrate that the proposed solvers are advantageous to the current state-of-the-art with a significant speed-up in the presence of outliers while maintaining comparable or superior estimation accuracy. The proposed solvers are tested on both synthetic and real images containing challenging fisheye distortions.

期刊信息：ICPR 2026