对视频序列图像的压缩编码，采用了运动预测以增大压缩率

图像处理源代码，关于图像亮度增减的处理算法。-Image processing source code, change the brightness on the image processing algorithms.

一种向CBitmap对象读取“*.bmp”文件的快捷方式。 1、建立自己的CBitmap派生类。 2、增加一个“Load from bitmap”的函数： BOOL CMyBitmap::LoadBitmap(LPCTSTR szFileName) { DeleteObject() HBITMAP hBitmap=NULL hBitmap=(HBITMAP)LoadImage(NULL,szFileName,IMAGE_BITMAP,0,0,LR_LOADFROMFILE|LR_CREATEDIBSECTION|LR_DEFAULTSIZE) return Attach(hBitmap) }-CBitmap object to a reading of "*. bmp" file shortcuts. One, to build their own CBitmap derived class. 2, add a "Load from bitmap" function : BOOL CMyBitmap : : LoadBitmap (LPCTSTR szFileName) (DeleteObje ct () HBITMAP hBitmap = NULL hBitmap = (HBITMAP) LoadImage (NULL, szFileName, IMAGE_BITMAP, 0, 0, LR_LOADFROMFILE | LR_CREATEDIBSECTION | LR_D EFAULTSIZE) return Attach (hBitmap);)

自适应的一阶的，其余的自己看，我也是新入门，有不足的地方，请指教-an adaptive bands, and the rest of its own, I was a new entry, its inadequacy, please enlighten

windows下用opencv实现的图像变换和视频跟踪，这是自己编写的代码-AppWizard has created this cvmedianfilter application for you. This application not only demonstrates the basics of using the Microsoft Foundation classes but is also a starting point for writing your application. This file contains a summary of what you will find in each of the files that make up your cvmedianfilter application.

这是我的图形学的3D大作业，使用MFC的图形界面，使用了局部光照模型，透视投影等。-This is my big 3D graphics operations, the use of MFC graphical interface, the use of the partial illumination model, such perspective projection.

BlurTemplate.m为模糊模板函数子程序 DIPexp2.m为用逆滤波和维纳滤波进行恢复的源程序-Template function for the fuzzy BlurTemplate.m Subroutine DIPexp2.m using inverse filtering and Wiener filtering for the restoration of the source

一个运动估计运算的MATLAB文件，本人已经测试过，非常有用。-A motion estimation MATLAB file operations, I have been tested, very useful.

人脸识别软件，可以识别人脸进行监控的软件-face reco

在VC++ 6.0中实现阈值处理，线性变换，傅里叶变换，去噪处理。-In VC++ 6.0 implementation of the threshold treatment, linear transform, Fourier transform, denoising treatment.

The function produce a set of features matched through a pair of views. The selection is driven by the estimate uncertainty extracted from the Fisher information matrix.