GraphExample

开发 API人脸检测实例教程，应用程序编程源码，很好的参考资料。(Tutorial examples of the development of API face detection, application programming source code, a good reference.)

说明：  基于人类视觉系统HVS的小波域数字图像水印 包含：嵌入、提取、分解、重构等(Based on human visual system HVS digital image watermarking in wavelet domain include: embedding, extraction, decomposition, reconstruction, etc.)

： 对一种基于图像几何重心的特征点提取算法进行了改进 改进后的算法可以提取任何边缘线上凹凸处的特征点 其基本 思想是，首先提取图像的边缘轮廓线，计算封闭边缘线和非封闭边缘线的几何重心 然后以重心为极点，对边缘点极坐标化，形成 幅角-极径曲线，在该曲线上寻找局部极大极小值点 最后根据局部非极大（小）抑制原则对极大（小）值点进行取舍获得特征点 模 拟结果表明算法计算简单 稳定性好 该方法提取的特征点能准确地反映目标的形状，对目标的识别 跟踪以及三维表面重建等都 具有重要的价值(This paper modifiesakindoffeatureextractingalgorithmbasedonimageedge.First， imageedgeoutlineisextracted. Second， geometricgravitycenterofedgeoutlineiscalculated.Third， argument-polarradiuscurveofpolarcoordinatesystemwhose poleisgeometricgravityisformed， andmaximumandminimumvaluepointsaresearched.Atlast， featurepointsareobtainedby selectingmaximum （minimum） valuepointsaccordingtolocalnon-maximum （minimum） depressionprinciple.Theresultindicates thatthealgorithmissimpleanditsstabilityisgood.Itisimportantforobjectrecognitionandthree-dimensionreconstruction.)

使用分裂Bregman算法做图像去噪，收敛速度很快，保持缘特征(using Splitting Bregman algorithm do image denoising, fast convergence to maintain edge features)

DLP LightCrafter4500 Control Software V3汉化版(DLP LightCrafter4500 Control Software V3(Chinese))

函数visreg能够自动处理两幅对准图像的大小以及像素等细节问题，从而半透明地在另一幅图像上显示一幅图像。(Function visreg can automatically deal with the size of two aligned images and details such as pixels, thus displaying an image in another image in a semitransparent way.)

主成分分析的三种方法，一种是自编程序，一种是princomp函数,一种是pcacov函数(Three principal component analysis, one is self-programming, one is princomp function, a function is pcacov)

MPEG解码源代码。转载中国程序员网络，提供该代码。(MPEG decode)

s世界计算机视觉三大会议之CVPR会议，中国人发表的经典立体匹配的论文(s World Computer Vision Conference CVPR three meetings, the Chinese classic stereo matching published papers)

（1）熟悉并掌握傅立叶变换 （2）了解傅立叶变换在图像处理中的应用 （3）通过实验了解二维频谱的分布特点 （4）用MATLAB实现傅立叶变换仿真 ((1) be familiar with and master the Fourier transform (2) understand the Fourier transform in image processing applications (3) experiments to understand the characteristics of the two-dimensional distribution of the spectrum (4) simulation using MATLAB Fourier transform)