opencv 通过摄像头捕捉头部

code：
#include <opencv\cv.h>

#include <opencv\highgui.h>

#include <opencv\cxcore.h>

#include <stdio.h>

#include <fstream>

#include <string>

#include <opencv\ml.h>

#include <iostream>

#include <fstream>

#include <string>

#include <vector>

#include <iostream>

#include <string.h>

#include <ctype.h>

using namespace cv;

using namespace std;

void detectAndDraw( Mat& img,

                   CascadeClassifier& cascade, CascadeClassifier& nestedCascade,

                   double scale);

String cascadeName =

"D:\\Opencv\\opencv\\data\\haarcascades\\haarcascade_frontalface_alt.xml";

String nestedCascadeName =

"D:\\Opencv\\opencv\\data\\haarcascades\\haarcascade_eye_tree_eyeglasses.xml";

int main()

{

IplImage* aplace = 0;

IplImage* colorlaplace = 0;

IplImage* planes[3] = {0,0,0};

CvCapture* capture = 0;

Mat frame, frameCopy, image;

double scale = 1;

CascadeClassifier cascade, nestedCascade;

capture = cvCaptureFromCAM(0);

if(!cascade.load(cascadeName))

{

cout<<"Load 1 is false!"<<endl;

}

//if(!nestedCascade.load(nestedCascadeName))

//{

// cout<<"Load 2 is false!"<<endl;

//}

cvNamedWindow("Example",0);

for(;;)

{

IplImage* frame0 = 0;

int i;

frame0 = cvQueryFrame(capture);

frame = frame0;

if(!frame0)

{

break;

}

if( frame0->origin == IPL_ORIGIN_TL )

            frame.copyTo( frameCopy );

        else

            flip( frame, frameCopy, 0 );

        detectAndDraw( frameCopy, cascade, nestedCascade, scale );

//cvShowImage("Example",frame);

cvWaitKey(1);

}

cvReleaseCapture(&capture);

cvDestroyWindow("Example");

return 0;

}

void detectAndDraw( Mat& img,

                   CascadeClassifier& cascade, CascadeClassifier& nestedCascade,

                   double scale)

{

    int i = 0;

    double t = 0;

    vector<Rect> faces;

    const static Scalar colors[] =  { CV_RGB(0,0,255),

        CV_RGB(0,128,255),

        CV_RGB(0,255,255),

        CV_RGB(0,255,0),

        CV_RGB(255,128,0),

        CV_RGB(255,255,0),

        CV_RGB(255,0,0),

        CV_RGB(255,0,255)} ;

    Mat gray, smallImg( cvRound (img.rows/scale), cvRound(img.cols/scale), CV_8UC1 );

    cvtColor( img, gray, CV_BGR2GRAY );

    resize( gray, smallImg, smallImg.size(), 0, 0, INTER_LINEAR );

    equalizeHist( smallImg, smallImg );

    t = (double)cvGetTickCount();

    cascade.detectMultiScale( smallImg, faces,

        1.1, 2, 0

        //|CV_HAAR_FIND_BIGGEST_OBJECT

        //|CV_HAAR_DO_ROUGH_SEARCH

        |CV_HAAR_SCALE_IMAGE

        ,

        Size(30, 30) );

    t = (double)cvGetTickCount() - t;

    printf( "detection time = %g ms\n", t/((double)cvGetTickFrequency()*1000.) );

    for( vector<Rect>::const_iterator r = faces.begin(); r != faces.end(); r++, i++ )

    {

        Mat smallImgROI;

        vector<Rect> nestedObjects;

        Point center;

       // Scalar color = colors[i%8];

Scalar color = colors[3];

        int radius;

        center.x = cvRound((r->x + r->width*0.5)*scale);

        center.y = cvRound((r->y + r->height*0.5)*scale);

        radius = cvRound((r->width + r->height)*0.25*scale);

        circle( img, center, radius, color, 3, 8, 0 );

        if( nestedCascade.empty() )

            continue;

        smallImgROI = smallImg(*r);

        nestedCascade.detectMultiScale( smallImgROI, nestedObjects,

            1.1, 2, 0

            //|CV_HAAR_FIND_BIGGEST_OBJECT

            //|CV_HAAR_DO_ROUGH_SEARCH

            //|CV_HAAR_DO_CANNY_PRUNING

            |CV_HAAR_SCALE_IMAGE

            ,

            Size(30, 30) );

        for( vector<Rect>::const_iterator nr = nestedObjects.begin(); nr != nestedObjects.end(); nr++ )

        {

            center.x = cvRound((r->x + nr->x + nr->width*0.5)*scale);

            center.y = cvRound((r->y + nr->y + nr->height*0.5)*scale);

            radius = cvRound((nr->width + nr->height)*0.25*scale);

            circle( img, center, radius, color, 3, 8, 0 );

        }

    }

    cv::imshow( "Example", img );

}
巴特西

opencv 通过摄像头捕捉头部

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