数字图像处理-人脸识别(解密)
立即下载
资源介绍:
数字图像处理-人脸识别(解密)
#include "cv.h"
#include "highgui.h"
#include
#include
static CvHaarClassifierCascade* cascade = 0;
static CvMemStorage* storage = 0;
void detect_and_draw( IplImage* image );
const char* cascade_name ="haarcascade_frontalface_alt.xml";//人脸检测要用到的分类器
int main(int argc, char* argv[])
{
//加载人脸检测所用的分类器
cascade = (CvHaarClassifierCascade*)cvLoad( cascade_name, 0, 0, 0 );
if( !cascade )
{
fprintf( stderr, "ERROR: Could not load classifier cascade\n" );
return -1;
}
//动态存储结构,用来存储人脸在图像中的位置
storage = cvCreateMemStorage(0);
cvNamedWindow( "result", 1 );
const char* filename = "Lena.jpg"; //待检测图像
IplImage* image = cvLoadImage( filename, 1 ); //加载图像
//对加载的图像进行检测
detect_and_draw( image );
cvWaitKey(0);
cvReleaseImage( &image );
cvDestroyWindow("result");
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 );
}
资源文件列表:
人脸识别.zip 大约有101个文件