HSolo: Homography from a single affine aware correspondence

TL;DR

This paper introduces HSolo, a new homography estimation method that leverages affine aware feature detectors to generate initial estimates from a single correspondence, improving robustness in inlier-poor scenarios.

Contribution

The paper presents a novel homography estimation procedure that uses affine aware features to produce initial estimates from a single correspondence, enhancing performance with low inlier rates.

Findings

Significant performance improvements at low inlier rates.

Effective filtering of correspondences to inlier-rich subsets.

Robust homography estimation in inlier-poor domains.

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.