在VC++2005下，用OpenGL正射投影画了立方体，进行了纹理，并且提供三维场景的图片输出...

该程序用Delphi7.0实现，中文名称：血液红细胞识别与统计系统，可以识别一幅图片中的血红细胞并统计出个数，准确率达到90％以上，该程序包含了用Object Pascal语言处理图像的一些基本常用技巧，值得一看-Delphi7.0 realize with the program, Chinese name: blood red blood cell identification and statistical systems to identify a picture of the red blood cells and a number of statistical accuracy rate over 90, the program includes the use of Object Pascal language processing images some basic common skills, worth a visit

基于摄像头的人脸检测,用的是VFW的程序没有用SDK的,比较粗糙-based on the camera face detection, the VFW is not the procedure used SDK, more rough

2D矢量图形库cairo的c++版本，简化2D矢量图形软件的开发。-2D vector graphics library cairo in c++ version, simplified 2D vector graphics software.

这是DX做场景的案例。。。希望有兴趣的人大家可以一起来探讨-This is the case of DX do the scene. . . I hope that those who are interested we can work together to explore the

该判断多边形点时钟排列方向， 非常准确（不准确的还没有遇到过，快3年了）。 该函数用到的相关函数都在文档中： 1.PtoLDistance－点到直线的距离； 2.CalcPolygonRect－计算多边形外接矩形； 3.CalcSegmentRect－计算线段外接矩形； 4.Distance－计算两点距离； 5.ISZEROA－判断数值是否为零； 该函数数据类型为Windows的POINT，使用了标准模板vector-The polygon points to determine the direction of the clock with very accurate (inaccurate, not yet encountered, fast 3 years). The function of the correlation function used in the document: 1.PtoLDistance-point to the straight-line distance 2.CalcPolygonRect-calculated external rectangular polygon 3.CalcSegmentRect-computing segment external rectangle 4.Distance-computing two distance 5 . ISZEROA-judge whether the value is zero the function data type for the Windows-POINT, using the standard template vector

A Very Fast Gouraud and Height-interpolated Voxel Landscape (a left-out routine from Pureness)

以前收藏的神经网络C代码,可用于图象识别-Before collection of neural network C code, can be used for image recognition

Kinect同时获取场景彩色图像和深度图像并保存，可将同一场景的图像对齐并保存到制定的文件目录

利用肤色模型和图像处理的相关知识，实现人脸的定位和检测-use of color image processing model and the related knowledge and to face the positioning and testing

C++ implementation of the fast distance transform algorithm -C++ Implementation of the fast distance transform algorithm