基于OpenCV harr级联分类器的人脸及眼睛、鼻子、嘴巴检测程序

#include <opencv2/core/core.hpp>#include <opencv2/highgui//highgui.hpp>#include <opencv2/objdetect/objdetect.hpp>#include <string>#include <vector>using namespace std;int main()    {    cv::CascadeClassifier mFaceDetector;    cv::CascadeClassifier mEyeDetector;    cv::CascadeClassifier mMouthDetector;    cv::CascadeClassifier mNoseDetector;    //载入四个人脸特征分类器文件，可以从opencv的安装目录中找到    if( mFaceDetector.empty() )        mFaceDetector.load( "haarcascade_frontalface_default.xml" );    if( mEyeDetector.empty() )        mEyeDetector.load( "haarcascade_mcs_eyepair_big.xml" );    if( mNoseDetector.empty() )        mNoseDetector.load("haarcascade_mcs_nose.xml" );    if( mMouthDetector.empty() )        mMouthDetector.load( "haarcascade_mcs_mouth.xml" );    //打开视频文件    //cv::VideoCapture capture("bike.avi");    //0 open default camera    cv::VideoCapture capture(0);    //检查视频是否打开    if(!capture.isOpened())        return 1;    // 得到帧率    double rate= capture.get(CV_CAP_PROP_FPS);    bool stop(false);    cv::Mat frame; // 现在的视频帧    cv::Mat mElabImage;//备份frame图像    cv::namedWindow("Extracted Frame");    // 两帧之间的间隔时间    int delay= 1000/rate;    // 循环播放所有的帧    while (!stop) {        // 读下一帧        if (!capture.read(frame))            break;        frame.copyTo( mElabImage );        //检测脸        //缩放因子        float scaleFactor = 3.0f;         vector< cv::Rect > faceVec;        mFaceDetector.detectMultiScale( frame, faceVec, scaleFactor );        int i, j;        for(  i=0; i<faceVec.size(); i++ )            {            cv::rectangle( mElabImage, faceVec[i], CV_RGB(255,0,0), 2 );            cv::Mat face = frame( faceVec[i] );            //检测眼睛            vector< cv::Rect > eyeVec;            mEyeDetector.detectMultiScale( face, eyeVec );            for( j=0; j<eyeVec.size(); j++ )                {                cv::Rect rect = eyeVec[j];                rect.x += faceVec[i].x;                rect.y += faceVec[i].y;                cv::rectangle( mElabImage, rect, CV_RGB(0,255,0), 2 );                }            //检测鼻子            vector< cv::Rect > noseVec;            mNoseDetector.detectMultiScale( face, noseVec, 3 );            for( j=0; j<noseVec.size(); j++ )                {                cv::Rect rect = noseVec[j];                rect.x += faceVec[i].x;                rect.y += faceVec[i].y;                cv::rectangle( mElabImage, rect, CV_RGB(0,0,255), 2 );                }            //检测嘴巴            vector< cv::Rect > mouthVec;            cv::Rect halfRect = faceVec[i];            halfRect.height /= 2;            halfRect.y += halfRect.height;            cv::Mat halfFace = frame( halfRect );            mMouthDetector.detectMultiScale( halfFace, mouthVec, 3 );            for(  j=0; j<mouthVec.size(); j++ )                {                cv::Rect rect = mouthVec[j];                rect.x += halfRect.x;                rect.y += halfRect.y;                cv::rectangle( mElabImage, rect, CV_RGB(255,255,255), 2 );                }            }            //在窗口中显示图像        cv::imshow("Extracted Frame",mElabImage);        // 按任意键停止视频播放        //if (cv::waitKey(delay)>=0)        //    stop= true;        cv::waitKey(20);        }    // 关闭视频文件    capture.release();    return 0;    }