Face

对输入的一张彩色图像，自己写代码实现Harris Corner 检测算法： 1. 不能直接调用OpenCV 里面与Harris 角点检测相关的一些函数； 2. 只能用C/C++，不能用其他语言； 3. GUI 只能用自带的HighGUI，不能用QT 或其他的； 4. 平台可以用Windows， Linux, MacOS； 5. 显示中间的处理结果及最终的检测结果，包括最大特征值图，最小特征值图，R 图（可以考虑彩色 展示），原图上叠加检测结果等，并将这些中间结果都输出成图像文件； 6. 命令格式： “xxx.exe 图片文件 k 参数(=0.04) Aperture_size(=3)”。(The input of a color image, write your own code to achieve Harris Corner Detection Algorithm: 1. Can not be called directly inside OpenCV some functions associated with the Harris corner detection 2. To only use C/C++, can not be used in other languages 3. GUI only with their own HighGUI, can not use QT or other 4. The platform can be used Windows, Linux, MacOS 5. Display intermediate and final results of the test results, including the largest eigenvalues diagram, the minimum feature value graph , R chart (you can consider color display), picture superimposed on the test results, etc., and these intermediate results are output as an image file 6. Command Format: " xxx.exe picture file k parameters (= 0.04) Aperture_size (= 3 ). " )

说明：  打包的二维三维图形图像处理源代码 稀有资源(packed 2D and 3D graphics processing source of scarce resources)

非常好的程序，能够对视频中移动目标进行跟踪(failed to translate)

用光流法进行运动物体的检测和跟踪，并返回运动方向(Light flow method of moving object detection and tracking, and return to the direction of movement)

数字音频水印的嵌入，提取，然后进行攻击性实验，检验其鲁棒性(Digital audio watermark embedding and extraction, and then attack experiment to test its robustness)

摄像头的标定，作为一般图像处理的第一步，显得尤为重要(Calibration of the camera, as a first step in the general image processing, it is particularly important)

一个全面的图像处理平台，基本上具有教课书上所说的所有图像处理算法，并附带一些关键算法！()

边沿检测与提取，轮廓跟踪的图象算法 用VC++实现，下载可以正常运行(Edge detection and extraction, contour tracing algorithm using image VC++ Realization can download the normal operation of)

图像的逆滤波 维纳滤波 同时可以对图像进行模糊处理比如运动模糊 卷积模糊(Using C++ to complete images of conversion, processing and compression process, is to learn good reference digital image processing program!)

SIFT特征提取 http://www.opencvchina.com/forum.php?mod=viewthread&tid=209&fromuid=267 (SIFT feature extraction http://www.opencvchina.com/forum.php?mod=viewthread& tid=209& fromuid=267)