c++ - OpenCV 2.3.0 级联分类器

Question

我正在尝试使用 OpenCV 2.3.0 制作人脸检测软件。虽然 OpenCV 2.4 具有人脸识别器类 2.3.0 却没有此功能。我检查了文档并指定 detectMultiScale 函数具有以下声明

void CascadeClassifier::detectMultiScale(const Mat& image, vector<Rect>& objects, double      
scaleFactor=1.1, int minNeighbors=3, int flags=0, Size minSize=Size())

现在我正在提供图像，即相机输入，但不知道要在 vector block 中填充什么。 这是我编写的代码。

#include "cv.h"
#include "highgui.h"
#include <stdio.h>
#include<iostream>

using namespace cv;
using namespace std;

int main()
{
    std::vector<Rect> faces;
    VideoCapture cap(0);

    if(!cap.isOpened())
        cout<<"Camera is not connected"<<endl;
    cv::CascadeClassifier* cascade=0;
    if(cascade.empty())
        return -1;
    Mat edges;
    namedWindow("Camera Feed",1);
    for(;;)
    {
        Mat frame;
        cap >> frame;
        imshow("Camera Feed", frame);
        if(waitKey(10)==27)
            break;
        cascade.detectMultiScale(frame,faces);
    }
    return 0;
}

问题:如何进行下一步？

Answer 1

通过Docs OpenCV .在这里查看详细信息 example

void detectAndDisplay( Mat frame )
{
  std::vector<Rect> faces;
  Mat frame_gray;

  cvtColor( frame, frame_gray, CV_BGR2GRAY );
  equalizeHist( frame_gray, frame_gray );

  //-- Detect faces
  face_cascade.detectMultiScale( frame_gray, faces, 1.1, 2, 0|CV_HAAR_SCALE_IMAGE, Size(30, 30) );

  for( int i = 0; i < faces.size(); i++ )
  {
    Point center( faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5 );
    ellipse( frame, center, Size( faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar( 255, 0, 255 ), 4, 8, 0 );

    Mat faceROI = frame_gray( faces[i] );
    std::vector<Rect> eyes;

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

    for( int j = 0; j < eyes.size(); j++ )
     {
       Point center( faces[i].x + eyes[j].x + eyes[j].width*0.5, faces[i].y + eyes[j].y + eyes[j].height*0.5 );
       int radius = cvRound( (eyes[j].width + eyes[j].height)*0.25 );
       circle( frame, center, radius, Scalar( 255, 0, 0 ), 4, 8, 0 );
     }
  }
  //-- Show what you got
  imshow( window_name, frame );
 }

希望对你有帮助