本博客直接调用OpenCV2.4.13附带的训练好的人脸检测分类器，使用AdaBoost方法对电脑自带摄像头进行人脸识别。
face_detection.cpp:
#include <stdio.h>
#include <iostream>
#include <string>
//OpenCV
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
using namespace std;
using namespace cv;
std::string face_cascade_name = "haarcascade_frontalface_alt.xml";
CascadeClassifier face_cascade;
string window_name = "Face detection";
//detect your face
void DetectObject(cv::Mat& frame){
namedWindow(window_name,CV_WINDOW_NORMAL);
std::vector<Rect> faces;
Mat frame_gray;
cvtColor(frame, frame_gray, COLOR_BGR2GRAY);
//equalizeHist(frame_gray, frame_gray);//直方图均衡化
//-- 人脸检测
face_cascade.detectMultiScale(frame_gray, faces, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30));
for (size_t i = 0; i < faces.size(); i++)
{
Point center(faces[i].x + faces[i].width / 2, faces[i].y + faces[i].height / 2);
int radius = cvRound((faces[i].width + faces[i].height)*0.25);
cv::circle(frame, center, radius, cv::Scalar(255, 0, 0),3);//draw circle
//cv::rectangle(frame, faces[i], cv::Scalar(0, 255, 0), 4);//draw rectangle
}
//-- 显示最终效果图
imshow(window_name, frame);
}
int main( void )
{
//-- 1. 加载级联（cascades）
if( !face_cascade.load( face_cascade_name ) ){ printf("no cascade file!!\n"); return -1; };
//-- 2. 读取视频
VideoCapture capture;
Mat frame;
cout<<"begin to open camera"<<endl;
capture.open(1); //open the camera
if( capture.isOpened() )
{
cout<<"camera is opened!"<<endl;
for(;;)
{
capture >> frame;
//-- 3. 对当前帧使用分类器（Apply the classifier to the frame）
if( !frame.empty() )
{
DetectObject(frame);
}
else
{
printf("No captured frame!!");
break;
}
waitKey(50);
}
}
else
{
cout<<"Opps,Cannot open the camera!!"<<endl;
}
return 0;
}
同目录下创建CMakeLists.txt文件：
cmake_minimum_required(VERSION 2.8 FATAL_ERROR)
project(face_detection)
if(NOT CMAKE_BUILD_TYPE)
set(POSSIBLE_BUILD_TYPES "Debug Release RelWithDebInfo MinSizeRel")
set(CMAKE_BUILD_TYPE "Release" CACHE STRING
"Choose the type of build, options are: ${POSSIBLE_BUILD_TYPES}." FORCE)
endif(NOT CMAKE_BUILD_TYPE)
message(STATUS "CMAKE_BUILD_TYPE: " ${CMAKE_BUILD_TYPE})
#find package
find_package(OpenCV 2.4.13 REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})
add_executable(face_detection face_detection.cpp)
target_link_libraries(face_detection ${OpenCV_LIBS})
Ubuntu下在该文件根目录下打开终端，执行：
mkdir build
cd build
cmake ..
make -j6
会生成一个可执行文件face_detection
将OpenCV自带的haarcascade_frontalface_alt.xml文件拷贝至build目录下，执行：
./face_detection
即可实现打开电脑摄像头进行人脸识别功能了。
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