ORB特征点提取(C++代码）

#include <opencv2/opencv.hpp>
#include <iostream>
using namespace cv;
using namespace std;

int main()
{
	Mat srcImage = imread("C:/Users/BIN/Desktop/1.png");
	Ptr<ORB> dectector = ORB::create(100,//特征点数
						1.2f,//“金字塔”层级之间缩放比例
						8,//“金字塔”图像层数系数
						31,//边缘阈值
						0,//原图在金字塔中的层数
						2,//生成描述子时用到的像素点数目
						ORB::HARRIS_SCORE,//使用的评价方法
						31,//生成描述子时关键点周围邻域的尺寸
						20//计算角点时像素值差值的阈值
						);
	//计算ORB关键点
	vector<KeyPoint> Keypoints;
	dectector->detect(srcImage, Keypoints);
	printf("Total keypoints: %d\n", Keypoints.size());
	//计算描述子
	Mat descriptions;
	dectector->compute(srcImage, Keypoints, descriptions);
	//绘制
	Mat imgnoAngel;
	Mat imgAngel;
	srcImage.copyTo(imgAngel);

	drawKeypoints(srcImage, Keypoints, imgnoAngel, Scalar(0,0,255), DrawMatchesFlags::DEFAULT);
	imshow("imgnoAngel", imgnoAngel);

	drawKeypoints(srcImage, Keypoints, imgAngel, Scalar(0, 0, 255), DrawMatchesFlags::DRAW_RICH_KEYPOINTS);
	imshow("imgAngel", imgAngel);

	waitKey(0);
	return 0;
}