opencv 利用Haar 人脸识别

#include <opencv2/opencv.hpp>
#include <cstdio>
#include <cstdlib>
#include <iostream>
#include <Windows.h>
using namespace std;
int main()
{
    // 加载Haar特征检测分类器
    // haarcascade_frontalface_alt.xml系OpenCV自带的分类器 下面是我机器上的文件路径
    const char *pstrCascadeFileName = "D:\\opencv\\opencv2.4.10\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml";
    CvHaarClassifierCascade *pHaarCascade = NULL;
    pHaarCascade = (CvHaarClassifierCascade*)cvLoad(pstrCascadeFileName);

    // 载入图像
    const char *pstrImageName = "D:\\721.jpg";
    IplImage *pSrcImage = cvLoadImage(pstrImageName, CV_LOAD_IMAGE_UNCHANGED);

    IplImage *pGrayImage = cvCreateImage(cvGetSize(pSrcImage), IPL_DEPTH_8U, );
    cvCvtColor(pSrcImage, pGrayImage, CV_BGR2GRAY);

    // 人脸识别与标记
    if (pHaarCascade != NULL)
    {
        CvScalar FaceCirclecolors[] =
        {
            {{, , }},
            {{, , }},
            {{, , }},
            {{, , }},
            {{, , }},
            {{, , }},
            {{, , }},
            {{, , }}
        };

        CvMemStorage *pcvMStorage = cvCreateMemStorage();
        cvClearMemStorage(pcvMStorage);
        DWORD dwTimeBegin, dwTimeEnd;
        dwTimeBegin = GetTickCount();
        CvSeq *pcvSeqFaces = cvHaarDetectObjects(pGrayImage, pHaarCascade, pcvMStorage);
        dwTimeEnd = GetTickCount();

        printf("人脸个数: %d   识别用时: %d ms\n", pcvSeqFaces->total, dwTimeEnd - dwTimeBegin);

        for(int i = ; i <pcvSeqFaces->total; i++)
        {
            CvRect* r = (CvRect*)cvGetSeqElem(pcvSeqFaces, i);
            CvPoint center;
            int radius;
            center.x = cvRound((r->x + r->width * 0.5));
            center.y = cvRound((r->y + r->height * 0.5));
            radius = cvRound((r->width + r->height) * 0.25);
            cvCircle(pSrcImage, center, radius, FaceCirclecolors[i % ], );
        }
        cvReleaseMemStorage(&pcvMStorage);
    }

    const char *pstrWindowsTitle = "人脸识别";
    cvNamedWindow(pstrWindowsTitle, CV_WINDOW_AUTOSIZE);
    cvShowImage(pstrWindowsTitle, pSrcImage);

    cvWaitKey();

    cvDestroyWindow(pstrWindowsTitle);
    cvReleaseImage(&pSrcImage);
    cvReleaseImage(&pGrayImage);
    return ;
}