Theoretical analysis and experimental results show that the improved algorithm has rigorous consequence and better accuracy and stability which is a perfect feature points matching algorithm.
理论分析和实验结果表明本算法推理严密，在精确性和稳定性都有显著的改善，是一种理想的特征点匹配算法。
The improvement on feature points extraction and feature points matching are the key points of the improved algorithm.
本文改进算法的最关键在于对特征点提取算法和特征匹配算法上的改进。
However, due to the image noise, feature extraction algorithm, as well as local similarity of non-stereo matching points, there must be some false matching between the images.
然而，由于图像噪声、特征点提取算法以及非匹配点的局部相似性和遮挡的影响，相关匹配中必然存在较多的误匹配。
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