IEEE Trans Image Process. 2001;10(3):475-83. doi: 10.1109/83.908541.
This paper proposes an oriented Hausdorff similarity (OHS) measure for robust object alignment. The OHS measure is introduced by replacing the distance concept of conventional Hausdoff distance (HD) algorithms by the similarity concept of the Hough transform (HT). The proposed algorithm can be considered as the modified directed HT using the distance transform (DT). The orientation information at each pixel is also used to remove incorrect correspondences.
本文提出了一种面向 Hausdorff 相似性(OHS)的度量方法,用于稳健的目标对齐。通过将传统 Hausdorff 距离(HD)算法的距离概念替换为 Hough 变换(HT)的相似性概念,引入了 OHS 度量。所提出的算法可以被视为使用距离变换(DT)的修改后的有向 HT。每个像素的方向信息也用于去除不正确的对应关系。