论文标题
HSOLO：单一仿射意识到的统层
HSolo: Homography from a single affine aware correspondence
论文作者
论文摘要
现有强大同构估计算法的性能高度取决于特征点对应的近距离速率。在本文中，我们提出了一种新颖的均应估计程序，该程序特别适合于贫穷的域。通过利用由仿射意识探测器（例如SIFT和SURF）创建的比例和旋转副产品，我们从单个对应对获得了初始同型估算值。该估计值使我们能够将对应关系过滤到富含富含估计量的Inlier富含子集中。尤其是在较低的速率下，我们的新型算法可提供巨大的性能提高。
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.
