opencv下HaarClassifierCascade的简单人脸检测

来源：互联网发布：python asm算法编辑：程序博客网时间：2024/05/16 17:12

接触Opencv一段时间了，最近导师一直让我看人脸识别相关的东西，看了这么多大牛写的人脸识别、追踪，一直没有自己动手写过，花了点时间写了一个简单的，单目标下能识别到人脸没问题，多目标下目前没测试，理论上应该可以（多目标识别已测试，识别成功）。

haar classifier cascade是opencv下自带的人脸检测的级联分类器，支持haar特征，新版本的CascadeClassifier好像支持LBP特征，没试过。

HaarDetect.h

#ifndef HAARDETECT_H#define HAARDETECT_H#include <opencv2\highgui\highgui.hpp>#include <opencv2\imgproc\imgproc.hpp>#include <opencv2\objdetect\objdetect.hpp>using namespace std;using namespace cv;CvHaarClassifierCascade* Load_Haar_Cascade();void detectFace(IplImage* frame,CvHaarClassifierCascade *faceCascade,CvRect *faceRect,int &count);#endif

HaarDetect.cpp

#include "HaarDetect.h"#include <iostream>#include <opencv2/opencv.hpp>using namespace std;CvHaarClassifierCascade* Load_Haar_Cascade(){CvHaarClassifierCascade* faceCascade = NULL;const char *faceCascadeFilename = "cascades\\haarcascade_frontalface_alt.xml";faceCascade = (CvHaarClassifierCascade*)cvLoad(faceCascadeFilename,0,0,0);if(faceCascade==NULL){cout<<"error in Load_Haar_Cascade:faceCascade is NULL"<<endl;}return faceCascade;}void detectFace(IplImage* frame,CvHaarClassifierCascade *faceCascade,CvRect *faceRect,int &count){const int flag = CV_HAAR_DO_CANNY_PRUNING;CvSeq *detectedFaces;CvMemStorage* storage;const double scale_factore = 1.1f;storage = cvCreateMemStorage(0);cvClearMemStorage(storage);if(faceCascade==NULL){cout<<"error in detectFace:faceCascade is NULL!"<<endl;exit(1);}IplImage* grayFrame = NULL;grayFrame = cvCreateImage(cvGetSize(frame),IPL_DEPTH_8U,1);cvCvtColor(frame,grayFrame,CV_RGB2GRAY);detectedFaces = cvHaarDetectObjects(grayFrame,faceCascade,storage,scale_factore,3,flag,cvSize(20,20));count = detectedFaces->total;if(detectedFaces==NULL){cout<<"error in detectFace:detectedFaces is NULL"<<endl;}for(int i=0;i<(detectedFaces->total);i++){faceRect[i] = *(CvRect *)cvGetSeqElem(detectedFaces,i);}if(faceRect == NULL){cout<<"error in detectFace:faceRect is NULL!"<<endl;}cvReleaseMemStorage(&storage);cvReleaseImage(&grayFrame);}

main.cpp

#include <iostream>#include <windows.h>//#include <conio.h>#include <opencv2\highgui\highgui.hpp>#include <opencv2\imgproc\imgproc.hpp>#include <opencv2\objdetect\objdetect.hpp>#include "HaarDetect.h"using namespace std;using namespace cv;int main(){CvCapture *camera;CvHaarClassifierCascade* faceCascade = NULL;CvRect faceRect[30];int faceCount;faceCascade = Load_Haar_Cascade();if(!faceCascade)return 0;camera = cvCreateCameraCapture(0);if(camera==NULL){cout<<"camera is NULL"<<endl;return 0;}IplImage *frame;/*IplImage *frame = cvCreateImage( cvSize( cvGetCaptureProperty(camera,CV_CAP_PROP_FRAME_WIDTH),cvGetCaptureProperty(camera,CV_CAP_PROP_FRAME_HEIGHT) ),IPL_DEPTH_8U,1);*/Sleep(5000);    //wait for init the camerawhile(true){/*faceRect = NULL;*/faceCount = 0;frame = cvQueryFrame(camera);if(frame==NULL){cout<<"frame is NULL"<<endl;break;}detectFace(frame,faceCascade,faceRect,faceCount);//if(faceRect == NULL)//{//exit(1);//}for(int i=0;i < faceCount;i++){cvRectangle(frame,cvPoint(faceRect[i].x,faceRect[i].y),cvPoint(faceRect[i].x+faceRect[i].width-1,faceRect[i].y+faceRect[i].height-1), CV_RGB(0,255,0), 1, 8, 0);}cvNamedWindow("Camera",CV_WINDOW_AUTOSIZE);cvShowImage("Camera",frame);cvWaitKey(10);}destroyAllWindows();cvReleaseCapture(&camera);return 0;}

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