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arXiv · 2009.05004

HSolo: Homography from a single affine aware correspondence

Antonio Gonzales·Cara Monical·Tony Perkins
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Abstract

The performance of existing robust homography estimation algorithms is highly dependent on the inlier rate of feature point correspondences. In this paper, we present a novel procedure for homography estimation that is particularly well suited for inlier-poor domains. By utilizing the scale and rotation byproducts created by affine aware feature detectors such as SIFT and SURF, we obtain an initial homography estimate from a single correspondence pair. This estimate allows us to filter the correspondences to an inlier-rich subset for use with a robust estimator. Especially at low inlier rates, our novel algorithm provides dramatic performance improvements.

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Antonio Gonzales, Cara Monical, Tony Perkins. 2020-09-10. HSolo: Homography from a single affine aware correspondence. https://arxiv.org/abs/2009.05004

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