昨天晚上在大神的带领下领略了opencv的风采，搞得我都想换行搞机器视觉了，这个库真的太好用了，用很简单的代码就能写出自己的人脸检测程序。
我把程序直接贴出来，大家一次讨论学习，平台是opencv2.4.10 + win10 + VS2013
#include<iostream> #include<stdio.h> #include<opencv2/opencv.hpp> #include<opencv2/highgui/highgui.hpp> #include<opencv2/imgproc/imgproc.hpp> #include "opencv2/core/core.hpp" using namespace cv; using namespace std; #define W 1920 #define H 1080 string face_cascade_name = "E:/code/Myprojects/ConsoleApplication1/ConsoleApplication1/haarcascade_frontalface_alt2.xml"; CascadeClassifier face_cascade; int facesnum = 0; void DectectorAndDis(Mat frame) { Mat face_gray = Mat::zeros(H, W, CV_8UC3); vector<Rect> faces; cvtColor(frame, face_gray, CV_BGR2GRAY);//RGB转化为灰度 equalizeHist(face_gray, face_gray);//直方图均衡化 face_cascade.detectMultiScale(face_gray, faces, 1.75, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(30, 30)); for (int i = 0; i < faces.size(); i++){ Point CvBox2D(int(faces[i].x + faces[i].width*0.5), int(faces[i].y + faces[i].height*0.5)); ellipse(frame, CvBox2D, Size(int(faces[i].width*0.5), int(faces[i].height*0.5)), 0, 0, 360, Scalar(255, 0, 0), 4, 8, 0); } if( facesnum != faces.size()) { cout << "人脸数：" << faces.size() << endl; facesnum = faces.size(); } imshow("读取视频", frame); } int main(int argc, char* argv[]) { //cv::Mat test = cv::imread("E:/code/Myprojects/ConsoleApplication1/test.jpg",0); //cv::Mat test1; //resize(test, test, Size(W, H)); //imshow("test", test); //cv::Canny(test, test1, 1, 3, 3); //imshow("test1", test1); //test.convertTo(test, CV_32SC1); VideoCapture capture; capture.open(0); Mat frame = Mat::zeros(H, W, CV_8UC3); Mat frameaftcanny = Mat::zeros(H, W, CV_8UC3); face_cascade.load(face_cascade_name); while (1) { capture >> frame; //cv::Canny(frame, frameaftcanny, 100, 300, 3); //imshow("边缘检测", frameaftcanny); DectectorAndDis(frame); cv::waitKey(50); } return 0; }