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。

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Sparse optical flow method was proposed for satisfying the requirement of real-time control and improving the efficiency of matching corresponding points in two im ages.

为了满足实时跟踪控制的需要，提高两幅图象之间对应点的匹配效率，提出了稀疏光流算法。

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To the problems of dynamic programming stereo matching algorithm modified by ground control points (GCPs), a pyramid two-level dynamic programming stereo matching algorithm is proposed.

针对控制点修正的动态规划立体匹配算法存在控制点求取时间长、实时性差的问题，提出一种金字塔双层动态规划立体匹配算法。

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