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基于MATLAB的SAD模板匹配算法

于 2020-05-13 发布

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下载积分: 1 下载次数: 7

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代码说明：

说明：基础SAD算法代码，最基本的图像匹配处理方法，也是最常用的基本法，有助于新手理解(Basic sad algorithm code)

文件列表：

SAD\BM_SAD.m, 2324 , 2018-04-10
SAD\src.jpg, 50544 , 2017-12-25
SAD\src1.jpg, 6889 , 2017-12-25
SAD\template.jpg, 33528 , 2017-12-25
SAD\template1.jpg, 18182 , 2017-12-25
SAD, 0 , 2018-04-10

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背景建模和前景分割的方式把运动车辆提取出来。并进行最近临关联，输出目标轨迹。 MeanShift运动目标跟踪 matlab程序 1.截取跟踪目标矩阵rect 2.求取跟踪目标的加权直方图hist1 3.读取视频序列中的一帧，先随机取一块与rect等大的矩形，计算加权直方图hist2。 4.计算两者比重函数，如果后者差距过大，更新新的矩阵中心Y，进行迭代（MeanShift是一种变步长可以迅速接近概率密度峰值的方法），直至一定条件后停止。这两种算法为处理图像跟踪的基本方法 (Background modeling and foreground segmentation the extracted moving vehicles. Pro associated output and the target locus. Target tracking matlab program MeanShift movement. Interception tracking the target matrix rect strike a tracking target weighted histogram hist1 3. Reads a video sequence, randomly take a with the rect large rectangular, calculate the weighted histogram hist2. 4. Calculate both the proportion of function, if the latter gap is too large to update the new center of the matrix Y conducted the iteration (MeanShift is a variable step size can be rapidly approaching the peak of the probability density) until certain conditions to stop. The basic method of these two algorithms for processing the image tracking)

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3D人脸建模过程中，重采样的重要一步，缝合面片间的缝隙。(3D face modeling process, an important step in resampling, suture surfaces between the cracks.)

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基于MATLAB的SAD模板匹配算法

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