opencv 中的人臉識別源程序 基於haar特徵的adaboost算法

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#include "cv.h"
#include "highgui.h"

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <assert.h>
#include <math.h>
#include <float.h>
#include <limits.h>
#include <time.h>
#include <ctype.h>

static CvMemStorage* storage = 0;
static CvHaarClassifierCascade* cascade = 0;

void detect_and_draw( IplImage* image );

const char* cascade_name =
"haarcascade_frontalface_alt.xml";
/* "haarcascade_profileface.xml";*/

int main()
{
    CvCapture* capture = 0;

    cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );

    if( !cascade )
    {
        fprintf( stderr, "ERROR: Could not load classifier cascade/n" );
        fprintf( stderr,
            "Usage: facedetect --cascade=/"<cascade_path>/" [filename|camera_index]/n" );
        return -1;
    }
    storage = cvCreateMemStorage(0);


    cvNamedWindow( "result", 1 );


    const char* filename = "leader2.jpg";
    IplImage* image = cvLoadImage(filename );

    if( image )
    {
        detect_and_draw( image );
        cvWaitKey(0);
        cvReleaseImage( &image );
    }

    cvDestroyWindow("result");
    cvWaitKey(0);
    return 0;
}

void detect_and_draw( IplImage* img )
{
    static CvScalar colors[] =
    {
        {{0,0,255}},
        {{0,128,255}},
        {{0,255,255}},
        {{0,255,0}},
        {{255,128,0}},
        {{255,255,0}},
        {{255,0,0}},
        {{255,0,255}}
    };

    double scale = 1.3;
    IplImage* gray = cvCreateImage( cvSize(img->width,img->height), 8, 1 );
    IplImage* small_img = cvCreateImage( cvSize( cvRound (img->width/scale),
        cvRound (img->height/scale)),
        8, 1 );
    int i;

    cvCvtColor( img, gray, CV_BGR2GRAY );
    cvResize( gray, small_img, CV_INTER_LINEAR );
    cvEqualizeHist( small_img, small_img );
    cvClearMemStorage( storage );

    if( cascade )
    {
        double t = (double)cvGetTickCount();
        CvSeq* faces = cvHaarDetectObjects( small_img, cascade, storage,
            1.1, 2, 0/*CV_HAAR_DO_CANNY_PRUNING*/,
            cvSize(30, 30) );
        t = (double)cvGetTickCount() - t;
        printf( "detection time = %gms/n", t/((double)cvGetTickFrequency()*1000.) );
        for( i = 0; i < (faces ? faces->total : 0); i++ )
        {
            CvRect* r = (CvRect*)cvGetSeqElem( faces, i );
            CvPoint center;
            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);
            cvCircle( img, center, radius, colors[i%8], 3, 8, 0 );
        }
    }

    cvShowImage( "result", img );
    cvReleaseImage( &gray );
    cvReleaseImage( &small_img );
}

轉自:http://blog.csdn.net/onezeros/archive/2010/07/07/5719480.aspx