非刚体图像配准中一种改进的点匹配方法

为了解决在非刚体点匹配过程中，由于点集之间相对位置变化的复杂性，导致配准结果易收敛于局部最小值点的问题，提出了基于预中心配准的非刚体点匹配联合估计法。在用迭代最近点算法确定两个点集中的点之间的对应关系前，通过预先进行两个点集的中心配准的方法，可以更加合理地确定点之间的对应关系，从而使匹配结果可以最大程度地收敛于全局最优点。仿真实验表明，此方法和传统算法相比，在没有明显增加运算量的前提下，匹配效果更佳。

A Modified Point Matching Method for Non-Rigid Image Registration

Aiming at the problem that the registration results tend to converge to local minima due to the complexity of the relative position changes between two point sets in the non-rigid body point matching process, a joint estimation method for non-rigid body point matching based on precenter alignment is proposed, a modified matching method for non-rigid image registration based on centre preregistration is proposed. To better achieve the point matching accuracy between two point sets, a centre preregistration step is applied before the iterative closest point matching algorithm, which converges to a solution more close to a global optimum and thus better matching results. The simulation results show that the proposed method achieves better matching accuracy than the traditional algorithm without significantly increased computation.