基于opencv的人脸检测程序源代码(可运行)

1 打开 Microsoft Visual Studio 2008，新建一个 Win32 控制台项目； 2 配置好项目的包含文件和库文件； 3 将OpenCVdatahaarcascades 中的 haarcascade_frontalface_alt.xml 拷贝到所建项目 的文件夹中； 4 然后添加代码： #include “stdafx.h“ #include #include IplImage* image; IplImage* copyimage; static CvHaarClassifierCascade* cascade = 0; static CvMemStorage* storage = 0; const char* cascade_name =“haarcascade_frontalface_alt2.xml“; /先要将次文件从OpenCVdatahaarcascades文件夹中拷贝到项目文件夹中 void detect_and_draw( IplImage* img ); /函数声明 int _tmain(int argc, _TCHAR* argv) cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 ); /加载人脸检测所用的分类器 if( !cascade ) fprintf( stderr,“ERROR: Could not load classifier cascaden“ ); return -1; storage = cvCreateMemStorage(0); /动态存储结构，用来存储人脸在图像中的位置 image = cvLoadImage( “F:TestImagesfaceScene.bmp“ ); if( !image ) return -1; cvNamedWindow( “Original Image“, 1 ); cvShowImage( “Original Image“, image); detect_and_draw( image ); /对加载的图像进行检测 cvWaitKey(); image = NULL; /如image是用cvCreateImage()创建的，那么用cvReleaseImage()释放;若不是“创建“的,就不能“释放” cvDestroyWindow(“Original“); cvDestroyWindow(“result“); return 0; void detect_and_draw( IplImage* img) static CvScalar colors = 0,0,255, 0,128,255, 0,255,255, 0,255,0, 255,128,0, 255,255,0, 255,0,0, 255,0,255 ; double scale = 1.3; copyimage=img; IplImage* gray = cvCreateImage( cvSize(copyimage-width,copyimage-height), 8, 1 ); cvCvtColor( copyimage, gray, CV_BGR2GRAY ); cvClearMemStorage( storage ); if( cascade ) /*函数cvHaarDetectObjects检测图像中的目标，由OpenCV提供。*/ CvSeq* faces = cvHaarDetectObjects( gray, cascade, storage, 1.1, 2, CV_HAAR_DO_CANNY_PRUNING , cvSize(20, 20) ); for( int i = 0; i total : 0); i+ ) CvRect* r = (CvRect*)cvGetSeqElem( faces, i ); cvRectangle( copyimage, cvPoint(r-x,r-y), cvPoint(r-x+r-width,r-y+r-height), CV_RGB(255,0,0), 3 ); cvNamedWindow