Compared with the whole attitude Angle matching recognition methods, the proposed method need small memory space and small calculation time.
与一维距离像全姿态角匹配识别方法比较，具有计算量、存贮量较小的特点。
The establishment of matching vector set and the conoept of standard vector can reduce the calculation time greatly.
新型匹配矢量集以及基准矢量的提出大大地减少了运算时间。
The experiment results show that the algorithm reduces the amount of calculation and increases the accuracy of imagine matching. Therefore, the algorithm has well real-time performance and robustness.
实验表明，该算法有效地减少了运算量，提高了图像匹配的精度，具有较好的实时性和鲁棒性。
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