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opencv 人臉檢測例程

opencv 人臉檢測簡單例程:

利用opencv自帶的harr分類器檢測人臉。 

vs 10 + opencv 2.4.8

實驗源碼:

<span style="font-family:Times New Roman;font-size:18px;">/* opencv 人臉檢測簡單例程*/

#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; //定義分類器

void detect_and_draw( IplImage* image );

const char* cascade_name ="D:/opencv248/opencv/sources/data/haarcascades/haarcascade_frontalface_alt.xml"; //加載opencv庫的harr人臉分類器
/* "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 = "e:/41.jpg";//"H:/test/face05.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}}
	};
   // 将圖像縮小
	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 ); //直方圖均衡
	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 = %g ms/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 );
		}
	}

	cvShowImage( "result", img );
	cvReleaseImage( &gray );
	cvReleaseImage( &small_img );
} </span>
           

實驗結果:

opencv 人臉檢測例程
opencv 人臉檢測例程

發現一個問題。該源碼在vs 10 下可以運作,但是之前在vs12下一直無法加載harr分類器,總是提示錯誤。在網上搜尋好久都得不到結果,後來換成vs10 就好了,不知道是什麼原因,希望有知道的大牛可以解決我的遺憾。