基于RANSAC方法的星表自动匹配方法

An Automatic Star-atlas Matching Technique Based on RANSAG

本文把星表匹配问题转化成计算机视觉中的对应点匹配问题,接着使用二维Delaunay三角化方法对星表进行三角化,然后用RANSAC方法对星表的自动匹配问题进行了研究。研究结果表明,我们的方法能够快速有效地完成星表匹配。在总共960个样本中,除了两幅不符合匹配的星表之外,全部获得了正确的匹配结果。

This paper introduces an automatic star-atlas matching technique based on RANSAC (Random Sample Consensus), which has been widely and successfully used for corresponding problems in computer vision field. A 21) Delaunay triangulation was used at first to triangulate star atlas, then a standard RANSAC technique was employed to determine the 4 matching parameters. The experiments on a data set of 960 showed that our proposed technique can find all correct matching pairs except for two of them that are unmatchable, with high computational efficiency.