基于特征数不变量的插针特征点匹配算法研究

Research on Pin Feature Point Matching Algorithm Based on Characteristic Number Invariant

针对电连接器插针匹配过程中特征点存在的近似对称以及在不同图像间存在大角度旋转变换的问题,提出了一种基于六点特征数不变量的特征点匹配算法。将特征点分为凸包与内点两部分,利用凸包上的点在射影变换中排列顺序的不变性实现了凸包匹配,利用以凸包特征点为基准的内点特征向量的相似性实现了内点匹配。实验结果证明,提出的算法能够很好地实现对插针特征点的匹配,具有一定的鲁棒性。

Aiming at the problem of approximate symmetry of the feature points in the pin matching process of the electrical connector and the large-angle rotation transformation between different images,it proposes a feature point matching algorithm based on the invariant of the sixpoint characteristic number.In this paper,the feature points were divided into two parts of convex hull and interior point.Then the invariance of the order of the points on the convex hull in the projective transformation was used to achieve the convex hull matching,and the similarity of interior point feature vectors based on convex hull feature points was used to achieve the interior point matching.The experimental results prove that the proposed algorithm can achieve the matching of the pin feature points well with certain robustness.