航空发动机叶片的点云粗配准方法研究

摘要：针对航空发动机叶片点云的配准问题，提出了一种粗配准方法，该方法结合了ICP迭代最近点算法和SIFT特征点匹配算法。首先，使用ICP算法对两个点云进行初步的配准；然后，通过SIFT算法提取特征点，并进行特征点匹配，以进一步提高配准精度。实验结果表明，该方法能够有效地提高航空发动机叶片点云的配准精度。

关键词：航空发动机叶片；点云匹配；ICP算法；SIFT算法

Abstract: In order to solve the registration problem of the point cloud of the aviation engine blade, a coarse registration method is proposed, which combines the ICP iterative closest point algorithm and the SIFT feature point matching algorithm. Firstly, the ICP algorithm is used to perform preliminary registration on the two point clouds; then, feature points are extracted by the SIFT algorithm, and feature point matching is performed to further improve the registration accuracy. The experimental results show that the method can effectively improve the registration accuracy of the point cloud of the aviation engine blade.

Keywords: aviation engine blade; point cloud matching; ICP algorithm; SIFT algorith