验证码识别

这是一个使用EBGfx库快速处理图象数据的程序，有需要的可以-It is a EBGfx for rapid image data processing procedures, it is necessary to look at the

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

1.  从一些流行网站上搜索各种人脸图像，建立大规模人脸美丽数据库 2.  人脸检测：对于输入的图采用 Harr+Adaboosting 算法进行人脸检测，并将人脸进行截取 3.  人脸特征提取：采用小波分解构造成多尺度空间，用分块 LBP 特征从图像中提取出人脸特征 4.  分类器训练：采用 KNN 分类器，用建立的数据库训练分类器，进行评分 5.  PC 端软件实现

zernike矩的源代码，非常不错，用matlab编的，值得下载-zernike moments of the source code, very good, and Matlab series, it is worth the download

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

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 ,

颜色聚类KMEAN下颜色空间的YCBCR

Isosurfacş ng example using marching cubes

This zip file contains source code and windows executables for carrying out face detection on a gray scale image. The code implements Viola-Jones adaboosted algorithm for face detection by providing a mex implementation of OpenCV s face detector. Instructions for use and for compiling can be found in the Readme file. Usage: FaceDetect (, ) The function returns Nx4 matrix. In case no faces were detected, N=1 and all four entries are -1. Otherwise, N=number of faces in the image and the vector contains the x, y, width and height information of the face. Example, A = imread ( lena.jpg , JPG ) Img = double (rgb2gray(A)) Face = FaceDetect( haarcascade_frontalface_alt2.xml ,Img) -This zip file contains source code and windows executables for carrying out face detection on a gray scale image. The code implements Viola-Jones adaboosted algorithm for face detection by providing a mex implementation of OpenCV s f

spineline object 3d rotation viewer