• Open Source Computer Vision Library

人脸检测

Wikipedia,自由的百科全书

本程序可以对输入的图像或者视频进行人脸检测,运行结果如下图:

Image:Example-facedetect.png

代码:

#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>
 
#ifdef _EiC
#define WIN32
#endif
 
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( int argc, char** argv )
{
    CvCapture* capture = 0;
    IplImage *frame, *frame_copy = 0;
    int optlen = strlen("--cascade=");
    const char* input_name;
 
    if( argc > 1 && strncmp( argv[1], "--cascade=", optlen ) == 0 )
    {
        cascade_name = argv[1] + optlen;
        input_name = argc > 2 ? argv[2] : 0;
    }
    else
    {
        cascade_name = "../../data/haarcascades/haarcascade_frontalface_alt2.xml";
        //opencv装好后haarcascade_frontalface_alt2.xml的路径,
       //也可以把这个文件拷到你的工程文件夹下然后不用写路径名cascade_name= "haarcascade_frontalface_alt2.xml";  
       //或者cascade_name ="C:\\Program Files\\OpenCV\\data\\haarcascades\\haarcascade_frontalface_alt2.xml"
        input_name = argc > 1 ? argv[1] : 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);
 
    if( !input_name || (isdigit(input_name[0]) && input_name[1] == '\0') )
        capture = cvCaptureFromCAM( !input_name ? 0 : input_name[0] - '0' );
    else
        capture = cvCaptureFromAVI( input_name ); 
 
    cvNamedWindow( "result", 1 );
 
    if( capture )
    {
        for(;;)
        {
            if( !cvGrabFrame( capture ))
                break;
            frame = cvRetrieveFrame( capture );
            if( !frame )
                break;
            if( !frame_copy )
                frame_copy = cvCreateImage( cvSize(frame->width,frame->height),
                                            IPL_DEPTH_8U, frame->nChannels );
            if( frame->origin == IPL_ORIGIN_TL )
                cvCopy( frame, frame_copy, 0 );
            else
                cvFlip( frame, frame_copy, 0 );
 
            detect_and_draw( frame_copy );
 
            if( cvWaitKey( 10 ) >= 0 )
                break;
        }
 
        cvReleaseImage( &frame_copy );
        cvReleaseCapture( &capture );
    }
    else
    {
        const char* filename = input_name ? input_name : (char*)"lena.jpg";
        IplImage* image = cvLoadImage( filename, 1 );
 
        if( image )
        {
            detect_and_draw( image );
            cvWaitKey(0);
            cvReleaseImage( &image );
        }
        else
        {
            /* assume it is a text file containing the
               list of the image filenames to be processed - one per line */
            FILE* f = fopen( filename, "rt" );
            if( f )
            {
                char buf[1000+1];
                while( fgets( buf, 1000, f ) )
                {
                    int len = (int)strlen(buf);
                    while( len > 0 && isspace(buf[len-1]) )
                        len--;
                    buf[len] = '\0';
                    image = cvLoadImage( buf, 1 );
                    if( image )
                    {
                        detect_and_draw( image );
                        cvWaitKey(0);
                        cvReleaseImage( &image );
                    }
                }
                fclose(f);
            }
        }
 
    }
 
    cvDestroyWindow("result");
 
    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 );
}

论坛相关讨论和链接

人脸识别代码 此段代码貌似有问题。。

这段代码没有问题 只是xml文档的那个路径要弄正确 。。。。


20121128,Louis 这段代码是在OpenCV的哪个版本下实现的? 我在OpenCV2.4.3版本下编译不过,后来把头文件添加了<opencv2/opencv.hpp>就可以编译执行了!

这个没有任何问题,我已经根据这个实现了,挺不错的,主要是scale的数值必须弄适合才行。

Views
Personal tools