问如何像matlab一样检测opencv中的角点？

EN

goodFeaturesToTrack

#pragma once
#include <string>
#include <iostream>
#include <vector>
#include "opencv2/opencv.hpp"
using namespace std;
using namespace cv;
//----------------------------------------------------------
// MAIN
//----------------------------------------------------------
int main(int argc, char* argv[])
{
    // src image
    Mat src;
    // dst image
    Mat dst;
    // Image loading
    namedWindow("result");
    namedWindow("src");
    src=imread("d:\\ImagesForTest\\lena.jpg",0);    

    cv::cvtColor(src,dst,cv::COLOR_GRAY2BGR);

    Mat corners;
    cv::goodFeaturesToTrack(src,corners,50,0.01,20.0);

    for(int i=0;i<corners.rows;++i)
    {
        circle(dst,cv::Point(corners.at<float>(i,0),corners.at<float>(i,1)),3,Scalar(255,0,0),-1,CV_AA);
    }

    imshow("src",src);
    imshow("result",dst);
    //----------------------------------------------------------
    // Wait key press
    //----------------------------------------------------------
    waitKey(0);
    destroyAllWindows();
    return 0;
}

void goodFeatureToTrack(Mat Vx) 
{ 

    /// Parameters for Shi-Tomasi algorithm
    vector<Point2f> cornersVx;
    int maxCorners = 100;
    double qualityLevel = 0.01;
    double minDistance = 10;
    int blockSize = 3;
    bool useHarrisDetector = false;
    double k = 0.04;

    goodFeaturesToTrack( Vx, cornersVx, maxCorners, qualityLevel, minDistance, Mat(), blockSize, useHarrisDetector, k );



    for(int i=0; i<cornersVx.size(); i++)
    {
        cout<<"\n Point for VX:  "<<cornersVx[i].x<<"  "<<cornersVx[i].y;
    }


}