本代码实现了三维图形的基本绘制，可以用做三维图形绘制的基本控件

X264(H264)最新版本 包含SVN目录入口,方便更新 注意:下载后请将后缀改名为.tar.bz2 包含win32 makefile 但最好在linux下使用(win32下需修改文档编码为DOS编码)-X264 (H264) the latest version of SVN directory that contains the entrance to facilitate the update Note: Please download suffix renamed. Tar.bz2 contains win32 makefile in linux but it would be best to use (win32 need to modify a document under the code for DOS encoding)

mapgis6.2二次开发的dll,vc++6.0制作，-mapgis6.2 secondary development of the dll, vc 6.0 production,

Windows图形编程源代码 ，这本书讲的比较全面，内容也很详实-Windows graphical programming source code, this book talked about a more comprehensive and its contents are very informative

熟悉数字图像的读取、显示及相关处理算法 掌握数字水印技术的基本理论与算法

读取AutoCAD文件中内嵌的缩略图, 可以读取从AutoCAD版本10~2005. 该文件是一个UNIT,请建立工程并产生新例调用它-read AutoCAD documents embedded thumbnail, can be read from AutoCAD version 10 ~ 2005. This document is a UNIT, and works to establish new cases have called it

VC++数字图像处理典型算法及实现一书代码，上半部分-VC++ Typical digital image processing algorithm and the realization of a book code, the first half of the

ARX辅助设计,可以完成简单的ARX画图与编辑-ARX-aided design, to complete a simple drawing and editing ARX

一个分形程序，拥有图形界面，特别不同-a fractal procedures, with a graphical interface, in particular the different

图像叠加，能完成两个图象的相互叠加。使其具有两个图的模型-superimposed images, can complete two superimposed images of each other. It will have two of Model

提出一种新的非线性变换的彩色空间 ″″, 利用次高斯概率分布函数拟合皮肤色度信息, 得到候选区 YC C r b 域。为了排除候选区域中的非人脸, 首先根据均值和方差信息分割出候选区域中的纹理特征信息, 再通过多尺度 ) ( 信息定位眼睛, 然后根据人脸特征的几 形态边缘检测算子检测候选区域的边缘, 利用 边缘方向 PCA PCAED ( ) 何形状信息定位其他特征 鼻、嘴 , 通过这些几何特征信息对肤色分割得到的候选区域进行验证, 最终得到正确 的人脸区域。利用3 个实验数据集测试该算法, 并与其它相应的算法相比较, 提出的非线性彩色空间对于肤色分 割具有很好的效果, 且对光照和姿态具有良好的不变性。另外, 利用 信息和几何特征信息检测人脸特征 PCAED 具有很高的定位精度, 定位检测率优于其他方法。实验结果表明, 该算法具有定位准确率高, 漏检率和误检率低 等特点。- A novel approach for skin segmentation and facial feature extraction is proposed The proposed skin segmentation is a method for integrating the chrominance components of ″″ . ″″ r b r b nonlinear YC C color model The chrominance components of nonlinear YC C color space , are modeled using a subgaussian probability density function and then the face skin is seg . , mented based on this function In order to authenticate the face candidate regions firstly tex ture information in face candidate regions is segmented using mean and variance of luminance ,