Department of Electronic Engineering, Sogang University, Seoul 100-611, Korea.
IEEE Trans Image Process. 1999;8(3):425-9. doi: 10.1109/83.748897.
A Hausdorff distance (HD) is one of commonly used measures for object matching. This work analyzes the conventional HD measures and proposes two robust HD measures based on m-estimation and least trimmed square (LTS) which are more efficient than the conventional HD measures. By computer simulation, the matching performance of the conventional and proposed HD measures is compared with synthetic and real images.
豪斯多夫距离（HD）是一种常用的目标匹配度量方法。本工作分析了传统的 HD 度量方法，并提出了两种基于 m 估计和最小 trimmed 平方（LTS）的鲁棒 HD 度量方法，它们比传统的 HD 度量方法更有效。通过计算机模拟，比较了传统和提出的 HD 度量方法在合成和真实图像上的匹配性能。
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