PCA

图像的平滑函数，对指定区域的图像，并有门限值和魔板大小限制。(the smooth of a bmp image)

各种图像处理技术举例。其中原代码可以直接使用，非常不错。(various image processing technology, for example. The original code which can be used directly, very good.)

改进的聚类光流法，聚类方法有kmeans和DBSCAN，光流法金字塔LK可以用，HS光流法占用内存太多。(Improved clustering optical flow method, clustering method kmeans and DBSCAN, pyramid LK optical flow method can be used, HS optical flow occupy too much memory.)

文中主要研究使用普通的摄像头进行人眼视线方向的估计。在综合介绍了各种人眼视线检测方法的基础上提出了一种新的图像处理的方法来检测人眼视线方向(The main study used an ordinary camera line of sight of the human eye is estimated. In the consolidated a variety of the human eye sight detection method based on a new image processing method to detect the line of sight of the human eye)

该源码为目标检测和跟踪算法 包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (The source code for target detection and tracking algorithm include: 1 Static background background prediction target detection 2 Static background frame difference method for target detection 3. Mean Shift tracking method 4 multi-target tracking methods focus)

vb6 project photo see edit

VC++图像平滑处理+程序源码，实现图象的平滑（去噪声），锐化功能，测试时请在C盘下放一个测试用的Bmp图片，路径：C: est.bmp，没有的话没法测试。如上图所示是水平平滑处理，可以对比下，不过感觉颜色失真了，有兴趣的看一下。命令行编译过程如下： 　　vcvars32 　　rc bmp.rc 　　cl smooth.c bmp.res user32.lib gdi32.lib(VC++ image smoothing+ program source code, to achieve a smooth image (to noise), sharpening function in the C drive when testing a test of decentralization Bmp picture, path: C: test.bmp, no words can not test . Is shown above the level of smoothing, you can compare the next, but the feeling of color distortion, interested look. Command-line compiler as follows: vcvars32 rc bmp.rc cl smooth.c bmp.res user32.lib gdi32.lib)

实现凸多边形排样，使用临界多边形NFP判断两个凸多边形是否相交,使用启发式算法提高效率(It s a good implement of convex polygon stock.)

VC计算机图形学原理及算法教程 VC计算机图形学入门教程(VC theory and algorithms of computer graphics computer graphics tutorial Tutorial VC)

kinect扫描到的人体分离出来，并以二值图显示，且可以保存在本地，丰富的注释帮助理解(kinect body scan to be separated, and binary image display and can be saved locally, rich annotation to help understand)