This shape recognition method based on real valued boundary points is employed to match two shapes with the proportional property of the arrays of their feature values.
本文提出的图形识别方法基于边缘点的实数值坐标，利用两幅图形特征值数列的比例特性进行匹配。
Then, normalized cross-correlation matching and probability support matching method are used to match the images feature points.
然后利用归一化互相关匹配法和概率支撑法对特征点进行匹配。
Secondly, the method of block-match is used to track the critical feature points.
用块匹配法跟踪了特征区域的关键点；
Then use these feature points for binocular matching thus getting distance information of the scene by the calculation of differences between match points in two images.
首先根据尺度不变特征变换方法从图像中提取关键点作为特征点，然后进行左右双目图像的特征点匹配和视差的恢复。
A new feature-point-based stereo matching algorithm is proposed in this paper, in order to match feature points more efficiently and accurately.
为了快速并更精确的对特征点进行立体匹配，本文提出了一种新的基于特征点的立体匹配算法。
A new feature-point-based stereo matching algorithm is proposed in this paper, in order to match feature points more efficiently and accurately.
为了快速并更精确的对特征点进行立体匹配，本文提出了一种新的基于特征点的立体匹配算法。
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