CPKJ

一种改进的大律法，对于学习图形处理这很有用(An improved large law, the study deal with this very useful graphics)

多个图片定时轮流切换，切换时可以改变样式(Photos regular rotation than switch can be changed when switching style)

python实现人脸识别，通过pca进行降维然后使用SVM算法进行分类(Python realizes face recognition, dimensionality reduction through pca and classification by SVM algorithm)

全景图像拼接，小例子，对初学者有用。 将txt中代码复制到m文件就可以了。(Panoramic image stitching, small example, be useful for beginners. The code in the txt file is copied to m do.)

刚才传的所有程序试验处理的图像(passed the test procedures to deal with all the images)

自己开发的一种点云降噪方法，可以去除物体主体之外的部分的点云数据（物体点云数据为三维扫描仪获得）(A point cloud noise reduction method developed by ourselves can remove part of the cloud data outside the main body of the object (object cloud data is obtained for a three-dimensional scanner))

据的规范化程序,消除数据的量纲对处理结果的影响,数据点之间距离的计算程序(According to the standardized program, the influence of the dimension of the data on the processing results is eliminated, and the calculation program of the distance between the data points is obtained.)

说明：  视频转帧预处理 ，应用于红外图像序列处理，为后续处理提供便宜。(Video frame preprocessing, applied to infrared image sequence processing, provides cheaper for subsequent processing.)

利用改进的ostu即最大类间方差方法进行视频图像二值化(Ostu that the use of improved Otsu method of video image binarization)

1.本程序主要处理BMP位图。 2.为了方便读者学习，程序各步骤都被拆分开实现了，通过点击相应按钮可以看到每个步骤处理的结果。 3.如果是进行人脸识别，需要先打开一幅位图依次进行“人脸检测与定位”操作和“人脸特征标注”操作，然后再打开需要比较的第二幅位图，也是依次进行所有操作，最后进行识别以区分先后两个人脸。(This procedure deals mainly with BMP Bitmaps. 2. In order for the reader to learn, each step of the program is split and the results of each step can be seen by clicking the appropriate button. 3. In the case of face recognition, it is necessary to open a bitmap for "face detection and location" and "face feature tagging" in turn, then open the second bitmap to be compared, and then perform all the operations in turn, and finally identify to distinguish two faces in succession.)