OpenCV摄像头人脸识别

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(200,200));

CvCapture *pCapture = cvCreateCameraCapture(0); //获取摄像头
cout<< "加载成功..." <<endl;
int nFrmNum = 0;

if(!pCapture)
{
cout<<"加载失败..."<<endl;
return ;
}
//create window
cvNamedWindow("Video",1);

CvMemStorage *pcvMStorage;
CvSeq *pCvSeq;

while(pFrame = cvQueryFrame(pCapture))    //逐帧读取
{
pGrayImg = cvCreateImage(cvGetSize(pFrame), IPL_DEPTH_8U, 1);
cvCvtColor(pFrame, pGrayImg, CV_BGR2GRAY);

//---------------人脸识别-------------------------
if (pHaarCascade != NULL)
{
pcvMStorage = cvCreateMemStorage(0);
cvClearMemStorage(pcvMStorage);

// 识别
pCvSeq = cvHaarDetectObjects(pGrayImg, pHaarCascade, pcvMStorage);

// 标记
for(int i = 0; i <pCvSeq->total; i++)
{
CvRect* r = (CvRect*)cvGetSeqElem(pCvSeq, i);
CvPoint pt[4];
pt[0] = cvPoint(r->x,r->y);
pt[1] = cvPoint(r->x+r->width,r->y);
pt[2] = cvPoint(r->x+r->width,r->y+r->height);
pt[3] = cvPoint(r->x,r->y+r->height);
CvPoint* ppt=pt;
int count=4;
cvPolyLine( pFrame, &ppt,&count,1,1,CV_RGB(10,240,33),2);//画矩形
}

cvReleaseMemStorage(&pcvMStorage);
}

cvShowImage("Video",pFrame);
//---------------人脸识别-------------------------
char c = cvWaitKey(33);    //按esc退出
if(c==27)
{
cvDestroyWindow("Video");
cvReleaseImage(&pFrame);
cvReleaseImage(&pGrayImg);
return;
}
}
}