基于opencv的人脸检测程序

#include <iostream>
#include <stdio.h>
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <cv.h>
#include <highgui.h>

using namespace std;
using namespace cv;

/** Function Headers */
void detectAndDisplay(Mat& frame);
//void detect_and_draw(IplImage* img);

/** Global variables */
String face_cascade_name = "haarcascade_frontalface_alt.xml";
//String eyes_cascade_name = "haarcascade_eye_tree_eyeglasses.xml";
CascadeClassifier face_cascade;
//CascadeClassifier eyes_cascade;
static CvMemStorage* storage = 0;
static CvHaarClassifierCascade* cascade = 0;
String window_name = "Capture - Face detection";
/**
* @function main
*/
int main(void)
{
	
	if (!face_cascade.load(face_cascade_name)){
		printf("open faces faile");
		return -1;
	}
/*	if (!eyes_cascade.load(eyes_cascade_name)){
		printf("open eyes faile");
		return -1;
	}*/
	Mat A = imread("girl4.png", IMREAD_COLOR);
	if (A.empty()){
		cout << "image faile";
	}
	
	imshow("image", A);
	waitKey(10);
	storage = cvCreateMemStorage(0);
	cvNamedWindow(window_name.c_str(), 1);
	/*IplImage* image = cvLoadImage("girl4.png", 1);
	if (image)
	{
		detect_and_draw(image);
		cvWaitKey(0);
		cvReleaseImage(&image);
	}*/
	detectAndDisplay(A);
	return 0;
}

/**
* @function detectAndDisplay
*/
void detectAndDisplay(Mat& frame)
{
	std::vector<Rect> faces;
	Mat frame_gray;

	cvtColor(frame, frame_gray, COLOR_BGR2GRAY);
	equalizeHist(frame_gray, frame_gray);

	//-- Detect faces

	face_cascade.detectMultiScale(frame_gray, faces,
		1.1,
		2,
		0,
		Size(20,20));
	

	for (size_t i = 0; i < faces.size(); i++)
	{
		Mat faceROI = frame_gray(faces[i]);
		std::vector<Rect> eyes;
			//-- Draw the face
			Point center(faces[i].x + faces[i].width / 2, faces[i].y + faces[i].height / 2);
			ellipse(frame, center, Size(faces[i].width / 2, faces[i].height / 2), 0, 0, 360, Scalar(255, 0, 0), 2, 8, 0);
	}
	imshow(window_name, frame);
	waitKey();
}