#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>
using namespace std;
static CvMemStorage* storage = 0;
static CvHaarClassifierCascade* cascade = 0;
void detect_and_draw( IplImage* image );
int f;
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 = "yueyu.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 );
f++;
}
}
cout<<"人脸数为:"<<f<<endl;
cvShowImage( "result", img );
cvReleaseImage( &gray );
cvReleaseImage( &small_img );
}
facedetect-test.rar （70个子文件） 
facedetect-test facedetect 
facedetect.sdf 13.21MB Release facedetect.suo 15KB x64 Release Debug facedetect.ilk 377KB facedetect.exe.manifest 406B
facedetect.exe 38KB facedetect.pdb 1.17MB ipch facedetect-93727f75 facedetect-7de256d4.ipch 54.13MB Debug facedetect.ilk 449KB facedetect.exe.manifest 406B facedetect.exe 40KB facedetect.pdb 1.29MB facedetect.sln 1KB facedetect facedetect.vcxproj 8KB xml.xml 14KB Release CL.write.1.tlog 2B CL.read.1.tlog 2B cl.command.1.tlog 2B facedetect.log 1KB facedetect.unsuccessfulbuild 0B facedetect.lastbuildstate 88B vc100.pdb 36KB test.cpp 3KB facedetect.vcxproj.filters 942B
yueyu.jpg 338KB haarcascade_frontalface_alt.xml 898KB
test.bmp 3MB facedetect.vcxproj.user 143B x64 Release CL.write.1.tlog 2B CL.read.1.tlog 2B facedetect.write.1.tlog 0B cl.command.1.tlog 2B facedetect.log 979B facedetect.unsuccessfulbuild 0B facedetect.lastbuildstate 86B vc100.pdb 36KB Debug test.obj 95KB vc100.idb 531KB facedetect.Build.CppClean.log 2KB CL.write.1.tlog 526B CL.read.1.tlog 21KB facedetect.write.1.tlog 0B mt.read.1.tlog 240B mt.command.1.tlog 590B cl.command.1.tlog 752B facedetect.log 3KB facedetect.exe.intermediate.manifest 381B link.write.1.tlog 930B link.command.1.tlog 2KB link.read.1.tlog 5KB facedetect.lastbuildstate 84B mt.write.1.tlog 428B vc100.pdb 908KB Debug test.obj 111KB vc100.idb 547KB facedetect.Build.CppClean.log 2KB CL.write.1.tlog 504B CL.read.1.tlog 20KB facedetect.write.1.tlog 0B mt.read.1.tlog 408B mt.command.1.tlog 562B cl.command.1.tlog 762B facedetect.log 3KB facedetect.exe.intermediate.manifest 381B link.write.1.tlog 880B link.command.1.tlog 4KB link.read.1.tlog 7KB facedetect.lastbuildstate 91B mt.write.1.tlog 408B vc100.pdb 900KB lena.jpg 12KB资源评论
