several commonly used image

算法特点： 1）可检测正面正负15度人脸； 2）支持多人脸检测； 3）经过优化后对尺寸为320×240的视频图像检测速度达15帧/秒； 4）支持灰度图像人脸检测、低照度视频图像人脸检测。 测试条件：要求计算机安装USB CMOS视频摄像头及驱动程序。 运行要求：可执行程序exe与配置文件FPD.ini在同一个目录下。 -Algorithm characteristics: 1) to deliver people testing positive face of plus or minus 15 2) support for more than face detection 3) after the optimized size of 320 × 240 video image detection rate of 15/s 4) to support the gray Image Face Detection, illumination video face detection. Test conditions: installation requires a computer USB CMOS video camera and driver. Operation requirements: exe executable files and configuration FPD.ini in the same directory.

用于图像分割，半自动交互，是比较流行的分割算法之一-For image segmentation, semi-automatic interactive, which is a more popular one of segmentation algorithm

LK稀疏光流Demo 可以在场景中自动找出关键点并自动跟踪，也可以使用鼠标在指定位置添加关键点，此程序是很好的学习光流的示例。本程序基于OpenCV。-LK Sparse Optical Flow Demo automatically in the scene to identify the key points and automatic tracking, you can also use the mouse to add the key points in the specified location, this program is a good example of the optical flow of learning. The program is based on OpenCV.

地图的LOD技术,可以使你的程序的图像在尽可能好下尽可能快-map LOD technology, allows you to process images in the best possible as quickly as possible under

实现分类功能；利用matlab 编程，然后将两类可分的类别分离开来-To achieve classification the use of matlab programming, and then can be divided into two categories separated from the

区域生长C源代码，可以用于图像处理中的区域分割和区域标记。-Regional Growth C source code, image processing can be used for the regional division and regional markings.

显示图像的直方图，图像的点运算，如图像反色、图像的线性变换、灰度拉伸、阀值变换等。-Display image histogram, image point calculations, such as anti-color images, images of linear transformation, gray stretch, transform, such as threshold.

实现背景图像的各种效果变换，效果非常好，可以作为游戏开发的参考。

针对平面内不相交的点或圆，根据三角剖分的原理，生成VORONOI图-For the plane does not intersect the point or circle, in accordance with the principles of triangulation to generate VORONOI map

一个非常优秀的屏幕转换成AVI文件的程序，值得-an excellent screen AVI file conversion process, it is worth a look at