arXiv · 2611.04822
Radial distortion homography estimation from affine-covariant or orientation-covariant features
Abstract
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.
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Marcus Valtonen Örnhag, Stefan Adalbjörnsson. 2026-11-03. Radial distortion homography estimation from affine-covariant or orientation-covariant features. https://doi.org/10.1007/978-3-032-31927-2_4
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