人脸检测的harr探测函数:
利用训练集,检测出脸部,画出框
void CAviTestDlg::HaarFaceDetect( IplImage* TheImage, CvBox2D* faceBox) { if( !cascade ) { return ; } storage = cvCreateMemStorage(0); int scale = 1; int i; IplImage* temp = cvCreateImage( cvSize(TheImage->width/scale,TheImage->height/scale), 8, 3 );//多余! CvPoint pt1, pt2; if( cascade ){ CvSeq* faces = cvHaarDetectObjects( TheImage, cascade, storage, 1.1, 2, CV_HAAR_DO_CANNY_PRUNING, cvSize(40, 40) ); for( i = 0; i < (faces ? faces->total : 0); i++ ){ CvRect* r = (CvRect*)cvGetSeqElem( faces, i ); pt1.x = r->x*scale; pt2.x = (r->x+r->width)*scale; pt1.y = r->y*scale; pt2.y = (r->y+r->height)*scale; //cvRectangle( TheImage, pt1, pt2, CV_RGB(255,0,0), 3, 8, 0 );// 画矩形,P1,P2,矩形对角线上的两个顶点。。。 } if ( faces->total == 0 ) { MessageBox("人脸检测丢失,请重新加载","人脸检测丢失丢失",0); return;}// else { faceBox->center.x = (float)(pt1.x+pt2.x)/2.0; faceBox->center.y = (float)(pt1.y+pt2.y)/2; faceBox->size.width = (float)(pt2.x - pt1.x); faceBox->size.height = (float)(pt2.y - pt1.y); } } cvReleaseImage( &temp ); }