国外的一个关于STEREO方面的源码，C++语言编写，使用研究立体视觉和三维重建的工作者。...

不错的源码-Good source

butterworth高通滤波，里面有两个巴特沃斯高通滤波函数，我试过了，都可以用。-butterworth high-pass filtering, there are two high-pass Butterworth filter function, I tried, you can use.

利用双缓冲技术避免图像闪烁的源码-use double buffering technology to avoid images flashing FOSS

解一个一元二次方程，并显示其图像的小程序。用tc 编写的。-Solutions a one yuan quadratic equation and showed images of small programs. With tc prepared.

这是一个图片在线展示及查看统计系统，功能很不错， 供大家学习参考-This is a display of photographs and viewing online statistical system, functions quite well, and for them to learn from reference

这时一个形状各不相同的窗体程序，例子给出了多种形状的窗体。-Shape when a different form procedures, examples are given a variety of shapes form.

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 ,

When creating applications with a complex view layout, there are several features that are missing from MFC. First, each type of view layout is created differently (simple view vs. splitter vs. nested splitter). Simple view layout does not need any additional code (MFC handles the creation). Splitter layout needs a CSplitterWnd and manual creation of each pane. Even more complex is the nested splitter. Second, MFC does not support tab windows that can be found in almost any commercial application and is great for better UI orgranization.

本代码实现了SIFT算法，首先获得差分图像尺度空间，寻找局部极值点，找到关键点，然后，对关键点生成特征描述符。实验效果很好。

source目录下为本章介绍的源程序功能是图象的检测，模板匹配-source directory for the chapter describes the functions of the source image detection and template matching