人脸检测的C/C++源代码

人脸检测的C/C++源代码，曾发表于 OPENCV 的 MAILING LIST，主要是对 3.1 版本的代码做了一些速度上的优化，并且解决了内存泄漏的问题。这个程序所使用的 Paul Viola 提出（该论文“Rapid Object Detection using a Boosted Cascade of Simple Features”发表在 CVPR'01）的 Ada Boosted Cascade 算法可以说是目前最好最快的目标检测算法。关于该算法的详细介绍，也可参考：

http://www.assuredigit.com/forum/display_topic_threads.asp?ForumID=11&TopicID=325

以及：

http://www.merl.com/people/viola/research/publications/CVPR-2001.pdf

运行文件下载：

http://www.assuredigit.com/product_tech/Demo_Download_files/FaceDetect.exe

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在OPENCV 3.1 版本，VC6.0下编译通过

====

===
#ifdef _CH_
#define WIN32
#error "The file needs cvaux, which is not wrapped yet. Sorry"
#endif

#ifndef _EiC
#include "cv.h"
#include "cvaux.h"
#include "highgui.h"

#endif

#ifdef _EiC
#define WIN32
#endif

#define ORIG_WIN_SIZE  24
static CvMemStorage* storage = 0;
static CvHidHaarClassifierCascade* hid_cascade = 0;

#define WINNAME  "Result"

void detect_and_draw( IplImage* image, IplImage* TempImage );

int main( int argc, char** argv )
{
    CvCapture* capture = 0;

    CvHaarClassifierCascade* cascade =
    cvLoadHaarClassifierCascade( "",
                         cvSize( ORIG_WIN_SIZE, ORIG_WIN_SIZE ));
    hid_cascade = cvCreateHidHaarClassifierCascade( cascade, 0, 0, 0, 1 );
    cvReleaseHaarClassifierCascade( &cascade );

    cvNamedWindow( WINNAME, 1 );
    storage = cvCreateMemStorage(0);
   
    if( argc == 1 || (argc == 2 && strlen(argv[1]) == 1 && isdigit(argv[1][0])))
        capture = cvCaptureFromCAM( argc == 2 ? argv[1][0] - '0' : 0 );
    else if( argc == 2 )
        capture = cvCaptureFromAVI( argv[1] );

    if( capture )
    {
        IplImage *frame, *temp;
        cvGrabFrame( capture );
        frame = cvRetrieveFrame( capture );
       
        temp = cvCreateImage( cvSize(frame->width/2,frame->height/2), 8, 3 );

        for(;;)
        {
            if( !cvGrabFrame( capture ))
                break;
            frame = cvRetrieveFrame( capture );
            if( !frame )
                break;

            detect_and_draw( frame, temp );

            if( cvWaitKey( 10 ) >= 0 )
            {
                //cvReleaseImage( &frame );
                //cvReleaseImage( &temp );
                cvReleaseCapture( &capture );
                cvDestroyWindow(WINNAME);
                return  0;
            }
        }
    }
    else 
    {
        char* filename = argc == 2 ? argv[1] : (char*)"lena.jpg";
        IplImage* image = cvLoadImage( filename, 1 );
        IplImage* temp = cvCreateImage( cvSize(image->width/2,image->height/2), 8, 3 );

        if( image )
        {
            cvFlip( image, image, 0 );
            image->origin = IPL_ORIGIN_BL;
            detect_and_draw( image, temp );
            cvWaitKey(0);
            cvReleaseImage( &image );
            cvReleaseImage( &temp );
        }
        cvDestroyWindow(WINNAME);
        return 0;
    }
    return 0;
}

void detect_and_draw( IplImage* img, IplImage* temp )
{
    int scale = 2;
    CvPoint pt1, pt2;
    int i;

    cvPyrDown( img, temp, CV_GAUSSIAN_5x5 );
#ifdef WIN32
    cvFlip( temp, temp, 0 );
#endif   
    cvClearMemStorage( storage );

    if( hid_cascade )
    {
        CvSeq* faces = cvHaarDetectObjects( temp, hid_cascade, storage,
                                            1.2, 2, CV_HAAR_DO_CANNY_PRUNING );
        for( i = 0; i < (faces ? faces->total : 0); i++ )
        {
            CvRect* r = (CvRect*)cvGetSeqElem( faces, i, 0 );
            pt1.x = r->x*scale;
            pt2.x = (r->x+r->width)*scale;
#ifdef WIN32           
            pt1.y = img->height - r->y*scale;
            pt2.y = img->height - (r->y+r->height)*scale;
#else
            pt1.y = r->y*scale;
            pt2.y = (r->y+r->height)*scale;
#endif           
            cvRectangle( img, pt1, pt2, CV_RGB(255,255,0), 3 );
        }
    }

    cvShowImage(WINNAME, img );
    //cvReleaseImage( &temp );
}

#ifdef _EiC
main(1,"facedetect.c");
#endif

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