IPM

说明：  最佳接缝法纹理合成的MATLAB代码，有图像例子，有网页说明，具体算法参照文献：Image Quilting for Texture Synthesis and Transfer(Texture synthesis method the best joints of the MATLAB code, there are examples of images, there are web pages that refer to the specific algorithm literature: Image Quilting for Texture Synthesis and Transfer)

说明：  face recognition example for learning

单目标定很好用的程序，对于单目摄像机的一个标定。张正友博士的方法，对于摄像机标定，切记标定板不能用手机拍摄，因为手机拍摄是变焦的(Single objective of the program is very good, for a single camera calibration. Dr. Zhang Zhengyou s method for camera calibration, remember that the camera calibration board can not be used to shoot the phone, because the phone is to shoot a zoom )

说明：  通过将高分辨率的图像和低分辨率的图像进行融合，来实现图像的融合。(By fusing high-resolution and low-resolution images, image fusion can be achieved.)

优化了的DLT算法，能够很好地跟踪目标。请下载woman等视频序列(Optimized DLT algorithm can track the target very well. Download woman and other video sequences)

黑塞矩阵（Hessian Matrix），又译作海森矩阵、海瑟矩阵、海塞矩阵等，是一个多元函数的二阶偏导数构成的方阵，描述了函数的局部曲率。黑塞矩阵最早于19世纪由德国数学家Ludwig Otto Hesse提出，并以其名字命名。黑塞矩阵常用于牛顿法解决优化问题，利用黑塞矩阵可判定多元函数的极值问题。在工程实际问题的优化设计中，所列的目标函数往往很复杂，为了使问题简化，常常将目标函数在某点邻域展开成泰勒多项式来逼近原函数，此时函数在某点泰勒展开式的矩阵形式中会涉及到黑塞矩阵。(Hessian Matrix, is a square matrix of the second order partial derivative of the multivariate function, which describes the local curvature of the function. The Hesse matrix was first proposed by the German mathematician Ludwig Otto Hesse in the 19th century and named after it. Hesse matrix is often used in Newton method to solve the optimization problem, using the black plug matrix to determine the extreme function of the extreme value problem.)

计算机图像处理，MFC实现图像的直方图显示、直方图的均衡化，以及中值滤波等功能(Computer image processing, MFC histogram of image display, histogram equalization and median filter and other functions)

基于AdaBoost的人脸检测程序代码(是用c++编写的)(AdaBoost-based face detection program code (written with c++))

非精确ALM解决PCA算法的例子，用后效果不错，发上来分享。(This matlab code implements the inexact augmented Lagrange multiplier method for Robust PCA.)

ASM算法的matlab实现，完整的ASM算法流程，包含各个子程序(ASM algorithm matlab achieve complete ASM algorithm process contains various subroutines)