在图像中加入随机噪声的源代码，编译后的可执行文件须带参数运行。 使用方法：gaussnoise BMP文件名...

这是一个图形化界面的操作系统功能演示程序.包括进程,内存和设备管理-This is a graphical interface to the operating system demonstration program. Including the process, memory and device management

神龙卡开发完全范例，适合视频、音频开发人员参考使用。-Shenlong card development paradigm completely suitable for video, audio developers use and reference.

随手画直线的程序。用VC++实现。希望对大家有帮助！-Readily draw a straight line process. With VC++ Achieve. I hope all of you help!

图象边界搜索,使用梯度算法，测试和photoshop效果一致-border, the use of gradient algorithm, testing and consistent results photoshop

是本人做的一个小茶壶.大家看看很简单的.-yes, I do a small teapot. We look very simple.

资源描述利用计算机视觉包opencv实现图像区域配准，对图像处理学习具有指导作用，算法可以多方面的改进，从而应用到很多其他图像处理当。（注意：必须安装opencv，低版本安装较复杂，可参考网上教程）

avl平衡树，很好用的数据结构，对建立索引有帮助-avl balance tree, very good data structure,will be helpful for creating index.

1，画一个三棱锥（或三棱柱）穿透一个立方体，并用Z_buffer算法消隐，其中立方体和三棱锥的各个面用不同的颜色表示 2，用动画实现穿透的全过程并且实现光照 立方体可以旋转运动 三棱锥可一上下穿透 关键词：Z缓冲器算法 Z向深度缓存算法 Z_buffer Phong光照模型 -a painting a three pyramid (or three prism) penetrating a cube. Z_buffer algorithm using hidden, cube and the three pyramid-all with different colors 2, Animation achieve penetration with the entire process and achieve illumination cube rotation can be a three pyramid next penetrating Keywords : Z Z-buffer algorithm to the depth buffer algorithm Z_buffer Phong illumination model

Rendering terrains with Managed DirectX There aren t many 3D games without a terrain. Creating and rendering a terrain, and the physics involved when, for example, driving on it with a car can be quite difficult. This article will demonstrate one technique to create a terrain: a simple technique to implement, but one that will look good.

该软件最主要的功能就是要能识别出人脸，首先该系统需要对通过摄像头拍照而获取到的原始的人脸图片进行一系列处理才可进行下一步的工作，该处理过程也称图像预处理。预处理这个模块在整个人脸识别系统的开发过程中占有很重要的地位，只有预处理模块做的好，才可能很好的完成后面的人脸定位和特征提取这两大关键模块。-The main features of the software is to be able to identify the face, first of all, the system need to take pictures through the camera and access to the original face image can only be carried out a series dealing with the work of the next step, the process also known as image pretreatment. Pretreatment of the Face Recognition System module in the entire process of development plays an important role, and only do pre-processing module, and can be very good after the completion of the Human Face Localization and Feature Extraction of these two key modules.