#include????
#include?
#include??
#include?“opencv2/core/core.hpp“????
#include?“opencv2/highgui/highgui.hpp“????
#include?“opencv2/imgproc/imgproc.hpp“
#include“opencv/cv.hpp“

using?namespace?std;
using?namespace?cv;
int?width?height?centerx?centery;
CascadeClassifier?face_cascade?eyes_cascade;
//導向濾波器
cv::Mat?guidedfilter（Mat?&srcImage?Mat?&srcClone?int?r?double?eps）
{
	//?轉換源圖像信息
	srcImage.convertTo（srcImage?CV_64FC1）;
	srcClone.convertTo（srcClone?CV_64FC1）;
	int?nRows?=?srcImage.rows;
	int?nCols?=?srcImage.cols;
	cv::Mat?boxResult;
	//?步驟一:?計算均值
	cv::boxFilter（cv::Mat::ones（nRows?nCols?srcImage.type（））
		boxResult?CV_64FC1?cv::Size（r?r））;
	//?生成導向均值mean_I????
	cv::Mat?mean_I;
	cv::boxFilter（srcImage?mean_I?CV_64FC1?cv::Size（r?r））;
	//?生成原始均值mean_p???
	cv::Mat?mean_p;
	cv::boxFilter（srcClone?mean_p?CV_64FC1?cv::Size（r?r））;
	//?生成互相關均值mean_Ip?
	cv::Mat?mean_Ip;
	cv::boxFilter（srcImage.mul（srcClone）?mean_Ip
		CV_64FC1?cv::Size（r?r））;
	cv::Mat?cov_Ip?=?mean_Ip?-?mean_I.mul（mean_p）;
	//?生成自相關均值mean_II?
	cv::Mat?mean_II;
	cv::boxFilter（srcImage.mul（srcImage）?mean_II?CV_64FC1?cv::Size（r?r））;
	//?步驟二：計算相關系數???
	cv::Mat?var_I?=?mean_II?-?mean_I.mul（mean_I）;
	cv::Mat?var_Ip?=?mean_Ip?-?mean_I.mul（mean_p）;
	//?步驟三：計算參數系數a，b?
	cv::Mat?a?=?cov_Ip?/?（var_I?+?eps）;
	cv::Mat?b?=?mean_p?-?a.mul（mean_I）;
	//?步驟四：計算系數a，b均值????
	cv::Mat?mean_a;
	cv::boxFilter（a?mean_a?CV_64FC1?cv::Size（r?r））;
	mean_a?=?mean_a?/?boxResult;
	cv::Mat?mean_b;
	cv::boxFilter（b?mean_b?CV_64FC1?cv::Size（r?r））;
	mean_b?=?mean_b?/?boxResult;
	//步驟五：生成輸出矩陣?
	cv::Mat?resultMat?=?mean_a.mul（srcImage）?+?mean_b;
	return?resultMat;
}
//人臉檢測
void?detectFaces（Mat?frame）?{
	std::vector?faces;
	Mat?frame_gray;
	//?灰度變換
	cvtColor（frame?frame_gray?COLOR_BGR2GRAY）;
	//?直方圖均衡
	equalizeHist（frame_gray?frame_gray）;
	//?多尺度人臉檢測
	face_cascade.detectMultiScale（frame_gray?faces
		1.1?3?0?|?CASCADE_SCALE_IMAGE?Size（30?30））;
	//?人臉檢測結果判定
	for?（size_t?i?=?0;?i?	{
		//?檢測到人臉中心
		Point?center（faces[i].x?+?faces[i].width?/?2
			faces[i].y?+?faces[i].height?/?2）;
		Mat?face?=?frame_gray（faces[i]）;
		std::vector?eyes;
		//?在人臉區域檢測人眼
		eyes_cascade.detectMultiScale（face?eyes?1.1?2
			0?|?CASCADE_SCALE_IMAGE?Size（30?30））;
		if?（e