人脸识别简单例子

来源：互联网发布：java 连接池大小设置编辑：程序博客网时间：2024/06/02 10:40

#include <stdlib.h>
#include <stdio.h>
#include <math.h>
#include <opencv/cv.h>
#include <opencv/highgui.h>

static CvHaarClassifierCascade *cascade;// 加载分类器
static CvMemStorage *storage=0;// 保存图像内存

void detect_and_draw(IplImage *image);// 识别人脸重绘图像

const char *cascade_name="haarcascade_frontalface_alt.xml";// 分类器文件名称

int main(int argc, char *argv[])
{
IplImage* img = 0;// 图像指针

// 载入图像
img=cvLoadImage("Lena.jpg");
cascade = (CvHaarClassifierCascade *)cvLoad(cascade_name,0,0,0); //加载人脸检测所用的分类器

if( !cascade )
{
fprintf( stderr, "ERROR: Could not load classifier cascade\n" );
return -1;
}
storage = cvCreateMemStorage(0); //动态存储结构，用来存储人脸在图像中的位置

// 创建窗口
cvNamedWindow("mainWin", 1);
detect_and_draw(img);

// wait for a key
cvWaitKey(0);

// release the image
cvReleaseImage(&img );
cvDestroyWindow("mainWin");
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 );

cvCvtColor( img, gray, CV_BGR2GRAY );
cvResize( gray, small_img, CV_INTER_LINEAR );
cvEqualizeHist( small_img, small_img );
cvClearMemStorage( storage );

if( cascade )
{
  /*函数cvHaarDetectObjects检测图像中的目标，由OpenCV提供。*/
  CvSeq* faces = cvHaarDetectObjects( small_img, cascade, storage, 1.1, 2, 0 ,
   cvSize(30, 30) );
  for( int 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 );
  }
}

cvShowImage( "result", img );
cvReleaseImage( &gray );
cvReleaseImage( &small_img );
}