#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <iostream>
#include<xfeatures2d/nonfree.hpp>
using namespace cv;
using namespace std;
using namespace cv::xfeatures2d;
Mat image;
int main()
{
        image = imread("C:/Users/zhang/Desktop/4.png");
        imshow("原图像", image);
        int Hessian = 400;//海塞矩阵阈值，在这里调整精度，值越大点越少，越精准
        Ptr<SURF> Detector = SURF::create(Hessian);
        vector<KeyPoint>  keyPoint;//KeyPoint专门为特征点建立的坐标类型
        Detector->detect(image, keyPoint);//detect寻找特征点的坐标
        Mat point_image;
        drawKeypoints(image, keyPoint, point_image, Scalar::all(-1), DrawMatchesFlags::DEFAULT);//画出特征点
        //Scalar::all(-1)为随机颜色
        imshow("特征点", point_image);

        waitKey(0);
        return 0;
}

奈斯，感谢分享