已知初始匹配对的图像四元松弛匹配算法

提出了已知初始匹配对的四元松弛匹配算法,该算法以向量旋转角的旋转和缩放不变性特征作为匹配对的优化准则,首先计算向量旋转角度差值,然后通过构造支持度函数和剔除策略选出最优匹配对.在初始错误匹配比例较高和游动误差较大的情况下能够实现正确匹配.通过大量图像实验证明,该算法在匹配速度和正确率上优于桑农松弛匹配算法.

Four-element relaxation matching algorithm of images based on known initial matching pairs

A four-element relaxation matching algorithm based on known initial matching pairs was proposed. The algorithm with characteristics of anti-rotation and anti-scale of rotating angle of vectors was applied as the optimization criterion of matching pairs. Under the condition of higher initial error matching rate and larger walk errors, the algorithm achieved the matching correctly. The value difference of the rotating angle of vectors was calculated, and the optimal matching pairs was selected by using of the support function and the rules of rejection. Experimental results with large images show that the matching speed and correctness of the algorithm is better than Sangnong relaxation matching algorithm.