基于QT和OpenCV的人脸检测识别系统（1）

人脸识别分为两大步骤

1.人脸检测 这个是首要实现的，你得实现人脸显示的时候把人脸框出来，当然算法很多，还有一些人眼检测鼻子检测什么的

主要用的是这个

const char *faceCascadeFilename = "haarcascade_frontalface_alt.xml";

detect_and_draw(IplImageBuffer,storage,cascade);

这个函数就是检测人脸的并画框效果如下



主要代码如下

void Chenaini::detect_and_draw(IplImage* img,CvMemStorage* storage, CvHaarClassifierCascade* cascade)

{

double scale=1.2;

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}}

};//Just some pretty colors to draw with

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);

cvCvtColor(img,gray, CV_BGR2GRAY);

cvResize(gray, small_img, CV_INTER_LINEAR);

cvEqualizeHist(small_img,small_img); cvClearMemStorage(storage);

double t = (double)cvGetTickCount();

CvSize min=cvSize(0,0);

CvSize max=cvSize(100,100);

CvSeq *objects = cvHaarDetectObjects( small_img,

cascade,storage,

1.1,

3, 0/*CV_HAAR_DO_CANNY_PRUNING*/,

min,

max

);

t = (double)cvGetTickCount() - t;

printf( "detection time = %gms\n", t/((double)cvGetTickFrequency()*1000.) );

//Loop through found objects and draw boxes around them

for(int i=0;i<(objects? objects->total:0);++i)

{

CvRect* r=(CvRect*)cvGetSeqElem(objects,i);

cvRectangle(img, cvPoint(r->x*scale,r->y*scale), cvPoint((r->x+r->width)*scale,(r->y+r->height)*scale), colors[i%8]);

}

for( int i = 0; i < (objects? objects->total : 0); i++ )

{

CvRect* r = (CvRect*)cvGetSeqElem( objects, 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 );

}

QImage image(( uchar*)img->imageData, img->width, img->height, QImage::Format_RGB888);

ui->label_shipin->clear();

ui->label_shipin->setScaledContents(true);

ui->label_shipin->setPixmap(QPixmap::fromImage(image));

rs = vd->unget_frame();

cvReleaseImage(&img);

}