The fast dense disparity map extract method based on mean normalized cross-correlation technique has been research.
研究了基于归一化协方差区域相关技术快速获取浓密视差图的方法。
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。
First, the principle of the correlation tracking algorithm was analyzed, and the normalized cross-correlation algorithm was taken as the research object.
首先，对相关算法进行了分析，选取归一化互相关积算法作为研究对象。
During the process, the normalized cross correlation function is used as the similarity measure.
在景象匹配过程中，选用归一化互相关系数作为相似性度量。
A new method for image sequence object detection based on the normalized cross correlation coefficient is proposed.
提出一种基于归一化互相关系数的图像序列运动目标检测方法。
The normalized cross correlation algorithm is a in common use method of the area matching.
区域匹配中最常用的算法是归一化互相关方法。
The normalized cross correlation algorithm is a in common use method of the area matching.
区域匹配中最常用的算法是归一化互相关方法。
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