The paper proposed an algorithm for detecting and matching control points based on the analysis and comparison of the present algorithms for detection of significant points.
通过对现有的特征点检测算法的分析与比较，提出了一种控制点的检测与匹配算法。
By comparison test, the new algorithm significantly improves the image corner detection performance.
通过对比实验，新算法明显地提高了图像角点的检测性能。
By comparison, Sequential Similarity Detection algorithm bears the characteristics of speedy calculation, accurate orientation and anti-jamming, which is fit for the high requirement in industry.
经实验对比发现，序贯相似检测算法具有较高的计算速度、定位精度，比较适合于高要求的工业应用中。
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