一个用vc写的利用粒子滤波算法实现目标跟踪的程序，对于理解粒子滤波有指导意义...

用opengl实现三维场景，可以向其中加入不同的模型，构建你自己的游戏世界-Use opengl realize three-dimensional scenes can be added to the different models, build your own gaming world

-渐变的窗口背景 -渐变的窗口背景 -- Gradient background of the window- the window gradient background- the background of gradual change of the window- the window of the background gradient

利用MATLAB中的库函kmeans以及色彩空间转换函数hsi2rgb和rgb2hsi完成彩色图像分割

快速独立分量分析 一共包含了5个ICA的算法，其中： fastica.m文件中的ICA算法是基于负熵的； m_fastica.m文件中的ICA算法是基于负熵的改进算法； fastica_kurt.m文件中的ICA算法是基于峭度的； fastica_ML.m文件中的ICA算法是基于互信息的； NLPCA.m文件中的ICA算法是基于非线性PCA的。

该源码是一个用Delphi写的将图形由透明到完全显示的演示程序-the source is a Delphi will write graphics from the show completely transparent to the demo program

这是一个在VC的环境下编写的小应用程序，随便选择一个汉字，然后输入背景字符，和前景字符，然后可以用这两个字符显示出这两个汉字-This is a VC in the preparation of the environment of small applications, choose any one Chinese characters, then the background characters, characters and prospects, could then make use of these two characters from these two Chinese characters

Introduction Icasso is based on running FastICA several times (resampling). Icasso pools all the estimates together and forms clusters bottom-up among them. The basic idea is that a tight cluster of estimates is considered to be a candidate for including a "good" estimate. A centroid of such cluster is considered a more reliable estimates than any estimate from an arbitrary run. (Instead of an average as a centroid, Icasso visualizes and returns a centrotype from each cluster. This is the one of the original estimates that is most similar to other estimates in the same cluster. You can compute the average by using Icasso functions.)

基于API的图像采集程序-image acquisition procedures

sobel边缘检测，简单的边缘检测程序，并可进行二值化处理，适合初学者。-edge detection， sobel

利用 pcl 库三维重建代码，  基于三维点云表面法向量的优化，主要是moving least square 方法，基于Poisson 表面重建的三维重建。 读入的是pcd文件，也可以是其他的格式。需修改读入文件的加载函数