facedetect-test.rar_HOG人脸检测_haar_haar 人脸_人脸特征向量

#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 ); }