OpenCV学习笔记（一）：使用CascadeClassifier检测人脸

内容说明

直接参考了OpenCV 3.0的示例程序，程序为opencv\sources\samples\cpp\tutorial_code\objectDetection目录下的objectDetection.cpp文件。本文使用了C++类进行封装

实验结果

原始图像与识别结果：

 

程序代码

1、 OpenCVTest.cpp

#include "stdafx.h"
#include "FaceRecognition.hpp"

int _tmain(int argc, _TCHAR* argv[])
{
	char* path = "C:\\Users\\dhj555\\Desktop\\22.jpg";
	cv::Mat img = cv::imread(path);
	FaceRecognition* recog = new FaceRecognition();
	recog->setImg(img);
	recog->recognition();

	cvWaitKey();
	return 0;
}

2、FaceRecognition.hpp

#include "stdafx.h"
#include 

class FaceRecognition
{
private:
	cv::Mat m_mImg;
	char* face_cascade_name = "D:\\OpenCV\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml";
	char* eyes_cascade_name = "D:\\OpenCV\\opencv\\sources\\data\\haarcascades\\haarcascade_eye.xml";
	cv::CascadeClassifier face_cascade;
	cv::CascadeClassifier eyes_cascade;

public:
	FaceRecognition();
	~FaceRecognition();
	void recognition();
	void setImg(cv::Mat mat);
};

FaceRecognition::FaceRecognition(){}

FaceRecognition::~FaceRecognition()
{
	delete face_cascade_name;
	delete eyes_cascade_name;
}

void FaceRecognition::setImg(cv::Mat mat)
{
	this->m_mImg = mat;
}

void FaceRecognition::recognition()
{
	//-- 1. Load the cascades
	if (!face_cascade.load(face_cascade_name)){ printf("--(!)Error loading face cascade\n"); return ; };
	if (!eyes_cascade.load(eyes_cascade_name)){ printf("--(!)Error loading eyes cascade\n"); return ; };

	std::vector faces;
	cv::Mat img_gray;

	cvtColor(m_mImg, img_gray, cv::COLOR_BGR2GRAY);
	cv::equalizeHist(img_gray, img_gray);

	//-- 2. Detect faces
	face_cascade.detectMultiScale(img_gray, faces, 1.1, 2, 0 | cv::CASCADE_SCALE_IMAGE, cv::Size(30, 30));

	for (int i = 0; i < faces.size(); i++)
	{
		cv::Point center(faces[i].x + faces[i].width / 2, faces[i].y + faces[i].height / 2);
		ellipse(m_mImg, center, cv::Size(faces[i].width / 2, faces[i].height / 2), 0, 0, 360, cv::Scalar(255, 0, 255), 4, 8, 0);

		cv::Mat faceROI = img_gray(faces[i]);
		std::vector eyes;

		//-- In each face, detect eyes
		eyes_cascade.detectMultiScale(faceROI, eyes, 1.1, 2, 0 | cv::CASCADE_SCALE_IMAGE, cv::Size(30, 30));

		for (size_t j = 0; j < eyes.size(); j++)
		{
			cv::Point eye_center(faces[i].x + eyes[j].x + eyes[j].width / 2, faces[i].y + eyes[j].y + eyes[j].height / 2);
			int radius = cvRound((eyes[j].width + eyes[j].height)*0.25);
			circle(m_mImg, eye_center, radius, cv::Scalar(255, 0, 0), 4, 8, 0);
		}
	}

	//-- 3. Show result
	cv::imshow("Res", m_mImg);
}