在风险投资中实现设备

现图形学中画直线，园和圆弧以及直线裁剪，区域填充等功能 1． 对于画直线，只需知道起点和终点即可。在工作区间中按下鼠标（即选择起点），拖动至另一处松开（终点），即得到直线。 2． 画圆需要圆心坐标、半径、及起始角和终止角，至于实验要求的画1/4圆弧，可设起始角=0，终止角=45，若要画整个圆弧起始角和终止角分别为0和360即可。-Graphics are painting a straight line, arc, as well as garden and cut a straight line, filled with features such as region 1. For painting a straight line, just know that you can start and finish. Interval in the work of the mouse click (that is, to choose the starting point), drag to another release (the end), that is to be a straight line. 2. Drawcircle need to center coordinates, radius, and the termination of the initial angle and angle, as required by experimental painting 1/4 arc, the starting angle can be set = 0, terminate the angle = 45, in order to draw the whole arc start angle and termination angle is 0 and 360, respectively, can be.

Graphics_Pipeline_Performance

字模提取软件，可以提取文字，图片以及动画的字模，感觉挺方便的。-Font extraction software can extract text, images and animations of the font, feeling quite convenient.

这是一个用VRML做的饮水器模型，但只是外观，不可以动-This is a VRML to do with the water model, but only appearance, can not move

这是一篇详细介绍人脸检测与语音驱动口型的文章，其中使用了高斯混合模型采取了无监督聚类的方法，希望对你有用。-This is a detailed introduction Face Detection and voice-driven I-type article, which uses the Gaussian mixture model taken unsupervised clustering method, in the hope that useful to you.

运用vc++和Opengl编的动态天空场景-Using vc++ and compiled a dynamic sky scenes Opengl

一个很小的程序，可以提供包括画直线，矩形，圆角矩形，以及多边形的功能，可以作为VC图形图像初接触者的参考-A small programme, provides the function of drawing lines, rectangles, roundrectangles, and polylines. Good guids for beginners of graphics programming using VC.

使用MATLAB 6.5开发，DDA算法画直线-The development of the use of MATLAB 6.5, draw a straight line scan line algorithm

一个图象处理软件，包涵源代码-an image processsing software, source code included

加载原始对比图像，并计算原始图像的直方图； 获取摄像头信息，抽取其中的帧，并计算该帧图像的直方图； 将抽取的图像的直方图与原始图像的直方图进行比较，并计算其相似度。 这个相似度就是这两上人脸的相似度了。 主要有以下几个函数构成： /** Function Headers */ void detectAndDisplay(Mat bas_img, Mat frame, bool iscap ); //获取直方图 Mat calculateHistogram(Mat src_img); //计算相似度 double calculateComparesion(Mat src, Mat dst);