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OPENCV 3.1 版本发布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OPENCV的介绍，参考：

<a href="http://blog.csdn.net/hunnish/archive/2004/09/13/102535.aspx">http://blog.csdn.net/hunnish/archive/2004/09/13/102535.aspx</a>

关于该算法的详细介绍，也可参考：

<a href="http://www.merl.com/people/viola/research/publications/CVPR-2001.pdf">http://www.merl.com/people/viola/research/publications/CVPR-2001.pdf</a>

以及：

<a href="http://www.assuredigit.com/forum/display_topic_threads.asp?ForumID=11&amp;TopicID=325">http://www.assuredigit.com/forum/display_topic_threads.asp?ForumID=11&amp;TopicID=325</a>

<a href="http://www.assuredigit.com/forum/display_topic_threads.asp?ForumID=11&amp;TopicID=463">http://www.assuredigit.com/forum/display_topic_threads.asp?ForumID=11&amp;TopicID=463</a>

运行文件下载：

<a href="http://www.assuredigit.com/product_tech/Demo_Download_files/Face.exe">http://www.assuredigit.com/product_tech/Demo_Download_files/Face.exe</a>

该程序可以对静止图像以及视频序列进行 face tracking。对视频序列，请先插入USB接口的摄像头。

====

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"

#ifdef _EiC

#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( &amp;cascade );

    cvNamedWindow( WINNAME, 1 );

    storage = cvCreateMemStorage(0);

    if( argc == 1 || (argc == 2 &amp;&amp; strlen(argv[1]) == 1 &amp;&amp; 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-&gt;width/2,frame-&gt;height/2), 8, 3 );

        for(;;)

        {

            if( !cvGrabFrame( capture ))

                break;

            frame = cvRetrieveFrame( capture );

            if( !frame )

            detect_and_draw( frame, temp );

            if( cvWaitKey( 10 ) &gt;= 0 )

            {

                //cvReleaseImage( &amp;frame );

                //cvReleaseImage( &amp;temp );

                cvReleaseCapture( &amp;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-&gt;width/2,image-&gt;height/2), 8, 3 );

        if( image )

            cvFlip( image, image, 0 );

            image-&gt;origin = IPL_ORIGIN_BL;

            detect_and_draw( image, temp );

            cvWaitKey(0);

            cvReleaseImage( &amp;image );

            cvReleaseImage( &amp;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 &lt; (faces ? faces-&gt;total : 0); i++ )

            CvRect* r = (CvRect*)cvGetSeqElem( faces, i, 0 );

            pt1.x = r-&gt;x*scale;

            pt2.x = (r-&gt;x+r-&gt;width)*scale;

#ifdef WIN32           

            pt1.y = img-&gt;height - r-&gt;y*scale;

            pt2.y = img-&gt;height - (r-&gt;y+r-&gt;height)*scale;

#else

            pt1.y = r-&gt;y*scale;

            pt2.y = (r-&gt;y+r-&gt;height)*scale;

#endif           

            cvRectangle( img, pt1, pt2, CV_RGB(255,255,0), 3 );

    cvShowImage(WINNAME, img );

    //cvReleaseImage( &amp;temp );

main(1,"facedetect.c");

本文转自feisky博客园博客，原文链接：http://www.cnblogs.com/feisky/archive/2008/04/11/1586568.html，如需转载请自行联系原作者