注:
从外设摄像装置中获取图像帧,把每帧的图片与人脸特征进行匹配,用方框框住识别出来的人脸
需要用到的函数:
CvHaarClassifierCascade* cvLoadHaarClassifierCascade( const char* directory, CvSize orig_window_size );
第一个参数:训练好的级联分类器的路径
第二个参数:级联分类器训练中采用的检测目标的尺寸
#include "stdafx.h"
#include "iostream"
using namespace std;
#include "opencv2/opencv.hpp"
#include "cv.h"
#include "highgui.h"
#include "cxcore.h"
#include "Windows.h"
void main()
{ IplImage *pFrame = NULL;
IplImage *pGrayImg = NULL; //加载Haar特征检测分类器
const char *pCascadeFileName = "E:/C_VC_code/opencv/haarcascade_frontalface_alt2.xml";
//CvHaarClassifierCascade *pHaarCascade = (CvHaarClassifierCascade*)cvLoad(pCascadeFileName);
CvHaarClassifierCascade *pHaarCascade = cvLoadHaarClassifierCascade(pCascadeFileName,cvSize(,)); CvCapture *pCapture = cvCreateCameraCapture(); //获取摄像头
cout<< "加载成功..." <<endl;
int nFrmNum = ; if(!pCapture)
{
cout<<"加载失败..."<<endl;
return ;
}
//create window
cvNamedWindow("Video",); CvMemStorage *pcvMStorage;
CvSeq *pCvSeq; while(pFrame = cvQueryFrame(pCapture)) //逐帧读取
{
pGrayImg = cvCreateImage(cvGetSize(pFrame), IPL_DEPTH_8U, );
cvCvtColor(pFrame, pGrayImg, CV_BGR2GRAY); //---------------人脸识别-------------------------
if (pHaarCascade != NULL)
{
pcvMStorage = cvCreateMemStorage();
cvClearMemStorage(pcvMStorage); // 识别
pCvSeq = cvHaarDetectObjects(pGrayImg, pHaarCascade, pcvMStorage); // 标记
for(int i = ; i <pCvSeq->total; i++)
{
CvRect* r = (CvRect*)cvGetSeqElem(pCvSeq, i);
CvPoint pt[];
pt[] = cvPoint(r->x,r->y);
pt[] = cvPoint(r->x+r->width,r->y);
pt[] = cvPoint(r->x+r->width,r->y+r->height);
pt[] = cvPoint(r->x,r->y+r->height);
CvPoint* ppt=pt;
int count=;
cvPolyLine( pFrame, &ppt,&count,,,CV_RGB(,,),);//画矩形
} cvReleaseMemStorage(&pcvMStorage);
} cvShowImage("Video",pFrame);
//---------------人脸识别-------------------------
char c = cvWaitKey(); //按esc退出
if(c==)
{
cvDestroyWindow("Video");
cvReleaseImage(&pFrame);
cvReleaseImage(&pGrayImg);
return;
}
}
}