mean-shift

一种稀疏角度下的重建算法，该算法是在matlab平台上实现的CT重建算法(A sparse angle reconstruction algorithm)

matlab求解雷诺方程，里面的程序需要适当修改(matlab solving the Reynolds equation, which the program needs to be amended as appropriate)

通过霍夫变换，实现延直线上信号的积累，达到提高信噪比的目地，以利于检测。(By Hough transform, the accumulation of signals in the certain straight line, to improve the SNR of the signal.)

说明：  水平集（level set）中快进算法（fast marching）算法的matlab工具箱，内容很全面。(Level Set (level set), Fast Forward algorithm (fast marching) algorithm m atlab Toolbox, which is very comprehensive.)

program to compute 2d-maxima for a set of xy points. The xy data points are generated using a random number generator. The command to run the program at DOS prompt is: - compute 2d-maxima for 500 xy points .2dmaxima 500

vc编的运动检测系统，特征区域匹配，运动物体提取，运动轨迹跟踪等(vc series of the motion detection system, features regional match, moving objects extraction, trajectory tracking)

说明：  在MTLAB环境运行main_msbcsspl.m。该程序的功能是实现图像的稀疏分解并重建图像，采用压缩感知理论，利用小波分析，在小波域分块观测，可以用很少的观测值就能重建原图像。程序包中已经整合了小波包和测试图像，没有多余文件，程序经过亲测并修改，能在MATLAB中直接运行得到很好的结果，速度非常快！(Run main_msbcsspl.m in the MTLAB environment. The function of the program is to decompose and reconstruct the image sparsely. Using compressed sensing theory and wavelet analysis, the original image can be reconstructed with very few observations. Wavelet package and test image have been integrated in the package. There are no redundant files. After testing and modifying the program, it can run directly in MATLAB and get good results. The speed is very fast.)

对图像的特征向量进行降维处理，降低代码复杂性，提高目标检测准确率(The dimension of feature vectors extracted image can be reduced by the code. Also, the code complexity is decreased, accompanying with the improved precision of object detection.)

用于求取三维点云数据的法向量，我的人脸建模就是用的这个，效果很好，但必须保证点云没有重叠的，否则会出现严重错误。(Strike a 3D point cloud data for normal vectors, and my face is to use this model, the effect is very good, but must ensure that there is no overlap of the point cloud, there would be a serious mistake.)

说明：  根据离散数据点拟合圆，得到圆心坐标和拟合半径(Fitting the circle according to the discrete data points, the coordinates of the center of the circle and the fitting radius are obtained.)