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这是完整的一套人脸表情识别,从样本训练到目标的识别.采用PCA来提取特征(This is the complete set of Facial Expression Recognition from the sample to the target identification training. Using PCA to extract the characteristics of)

说明：  通过超像素算法，读入图片确定分割数，得到最佳图像分割结果(Through the superpixel algorithm, read in the picture to determine the number of divisions to get the best image segmentation result)

An simple illustration of champ markov

通过点云数据的格网化，建立格网分块索引，这是一种有效的点云数据存储方式。( Through the point cloud data grid , the establishment of a grid block index, which is a valid point cloud data storage. )

双数复小波阈值除噪程序，可以实现双数复小波分解及重构。并能实现阈值除噪。(Double the number of complex wavelet threshold denoising procedures can achieve double the number of complex wavelet decomposition and reconstruction. And to achieve the threshold noise removal.)

人脸检测与跟踪，我的毕业论文，使用我自己改进的ADABOOST和CAMSHIFT算法,附带我的毕业论文,opencv1.0或以上自己配置(face detection use adaboost and camshift algorithm，relevant paper enclosed，OPENCV1.0 is necessary)

采用小波变换提取图像特征，对图像特征点进行匹配可以实现畸变图像校正。(Using wavelet transform to extract image features, the image feature points matching can be achieved distortion image correction.)

经典的ROF模型，可以用于图像去噪，图像分解；TV图像修复(The ROF model can be used for image denoising)

matlab做的标定程序，包括角点检测与张正友标定算法做的，有界面 (matlab to do the calibration interface, including the corner detection algorithm and Zhang Zheng-you do calibration)

一些基本的图像处理算法的matlab实现，包括边缘提取和roc分析等(some basic image processing algorithms to achieve Matlab, including edge detection and analysis roc)