用OPENCV写的,非常好用,需要在VC的支持下运行,
代码片段和文件信息
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
文件 49205 2005-04-26 01:19 FindEyes1.1 925174346.jpg
文件 30567 2005-04-26 02:05 FindEyes1.18358210705999159.jpg
文件 110902 2005-01-24 18:17 FindEyes1.1BioID_0249.bmp
目录 0 2005-11-29 12:10 FindEyes1.1cascade
目录 0 2005-11-29 12:10 FindEyes1.1cascade
文件 223 2005-04-09 15:56 FindEyes1.1cascade AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade1
目录 0 2005-11-29 12:10 FindEyes1.1cascade10
文件 1287 2005-04-09 18:13 FindEyes1.1cascade10AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade11
文件 1362 2005-04-09 19:09 FindEyes1.1cascade11AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade12
文件 950 2005-04-09 21:03 FindEyes1.1cascade12AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade13
文件 1282 2005-04-10 00:49 FindEyes1.1cascade13AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade14
文件 919 2005-04-10 10:08 FindEyes1.1cascade14AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade15
文件 883 2005-04-11 06:45 FindEyes1.1cascade15AdaBoostCARTHaarClassifier.txt
文件 327 2005-04-09 16:01 FindEyes1.1cascade1AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade2
文件 340 2005-04-09 16:07 FindEyes1.1cascade2AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade3
文件 324 2005-04-09 16:12 FindEyes1.1cascade3AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade4
文件 523 2005-04-09 16:19 FindEyes1.1cascade4AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade5
文件 748 2005-04-09 16:30 FindEyes1.1cascade5AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade6
文件 1132 2005-04-09 16:45 FindEyes1.1cascade6AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade7
............此处省略83个文件信息
#include “stdafx.h“
#include “cvapp.h“
#include
#define MERGESIZE 5
//global variable
static CvMemStorage* storage = 0;
static CvMemStorage* storage_eye = 0;
static CvHaarClassifierCascade* cascade = 0;
static CvHaarClassifierCascade* cascade_eye= 0;
const char* cascade_name =“E:/CVspace/OpenCV/data/haarcascades/haarcascade_frontalface_alt.xml“;
ImageProcessor *proc=0;
void detect_and_draw( IplImage* img )
{
int scale = 1;
IplImage* temp = cvCreateImage( cvSize(img->widthimg->height) 8 3 );
CvPoint pt1 pt2pt1eyept2eyecyclecentereyecenter_pt1eyecenter_pt2eyecenter_pt3eyecenter_pt4;
int ijcycleradius;
CvRect regFace;
IplImage* faceimg* tempfaceimg;
double sizeratio=1;
temp = cvCloneImage(img);
//cvPyrDown( img temp CV_GAUSSIAN_5x5 );
cvClearMemStorage( storage );
cvClearMemStorage( storage_eye );
if( cascade )
{
CvSeq* faces = cvHaarDetectobjects( img cascade storage
1.1 2 CV_HAAR_DO_CANNY_PRUNING
cvSize(40 40) );
for( i = 0; i < (faces ? faces->total : 0); i++ )
{
CvRect* r = (CvRect*)cvGetSeqElem( faces i );
pt1.x = r->x*scale;
pt2.x = (r->x+r->width)*scale;
pt1.y = r->y*scale;
pt2.y = (r->y+r->height)*scale;
//cvRectangle( img pt1 pt2 CV_RGB(25500) 3 8 0 );
cyclecenter.x=(pt1.x+pt2.x)/2;
cyclecenter.y=(pt1.y+pt2.y)/2;
cycleradius=scale*max(r->widthr->height)/2;
//cvCircle(img cyclecenter cycleradius CV_RGB(25500) 3 8 0);
//cvEllipse( img cyclecenter cvSize(cycleradius1.4*cycleradius)00 360 CV_RGB(25500) 2);
regFace.x = r->x*scale;
regFace.y = r->y*scale;
regFace.width =r->width*scale;
regFace.height =(int)r->height*scale/2;
if (regFace.width>200)
{
faceimg=cvCreateImage( cvSize(regFace.width/scaleregFace.height/scale) 8 img->nChannels);
cvSetImageROI (temp regFace);
//cvResize(img faceimg CV_INTER_LINEAR);
cvCopy (temp tempfaceimg);
sizeratio=1.0;
}
else
{
tempfaceimg=cvCreateImage( cvSize(regFace.width/scaleregFace.height/scale) 8 img->nChannels);
cvSetImageROI (temp regFace);
cvCopy (temp tempfaceimg);
//cvSaveImage(“temp1.jpg“tempfaceimg);
faceimg=cvCreateImage( cvSize(200regFace.height*200/regFace.width) 8 img->nChannels);
cvResize(tempfaceimgfaceimg);
//cvSaveImage(“temp2.jpg“faceimg);
sizeratio=(double)regFace.width/200;
}
//cvSaveImage(“temp.jpg“img);
//cvSaveImage(“temp.jpg“faceimg);
CvSeq* eyes = cvHaarDetectobjects( faceimg cascade_eye storage_eye
1.1 2 CV_HAAR_DO_CANNY_PRUNING
cvSize(30 20) );
for( j =
属性 大小 日期 时间 名称
----------- --------- ---------- ----- ----
文件 49205 2005-04-26 01:19 FindEyes1.1 925174346.jpg
文件 30567 2005-04-26 02:05 FindEyes1.18358210705999159.jpg
文件 110902 2005-01-24 18:17 FindEyes1.1BioID_0249.bmp
目录 0 2005-11-29 12:10 FindEyes1.1cascade
目录 0 2005-11-29 12:10 FindEyes1.1cascade
文件 223 2005-04-09 15:56 FindEyes1.1cascade AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade1
目录 0 2005-11-29 12:10 FindEyes1.1cascade10
文件 1287 2005-04-09 18:13 FindEyes1.1cascade10AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade11
文件 1362 2005-04-09 19:09 FindEyes1.1cascade11AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade12
文件 950 2005-04-09 21:03 FindEyes1.1cascade12AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade13
文件 1282 2005-04-10 00:49 FindEyes1.1cascade13AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade14
文件 919 2005-04-10 10:08 FindEyes1.1cascade14AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade15
文件 883 2005-04-11 06:45 FindEyes1.1cascade15AdaBoostCARTHaarClassifier.txt
文件 327 2005-04-09 16:01 FindEyes1.1cascade1AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade2
文件 340 2005-04-09 16:07 FindEyes1.1cascade2AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade3
文件 324 2005-04-09 16:12 FindEyes1.1cascade3AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade4
文件 523 2005-04-09 16:19 FindEyes1.1cascade4AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade5
文件 748 2005-04-09 16:30 FindEyes1.1cascade5AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade6
文件 1132 2005-04-09 16:45 FindEyes1.1cascade6AdaBoostCARTHaarClassifier.txt
目录 0 2005-11-29 12:10 FindEyes1.1cascade7
............此处省略83个文件信息
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