opencv学习之路（33）、SIFT特征点提取（一）

一、简介

二、OpenCV中的SIFT算法接口

#include "opencv2/opencv.hpp"

#include <opencv2/nonfree/nonfree.hpp>//SIFT

#include <vector>

#include<iostream>

using namespace std;

using namespace cv;

void main()

{

    Mat srcImg1 = imread("E://00.jpg");

    Mat srcImg2 = imread("E://01.jpg");

    //定义SIFT特征检测类对象

    SiftFeatureDetector siftDetector;//SIFT=SiftFeatureDetector=SiftDescriptorExtractor    别名//定义KeyPoint变量

    vector<KeyPoint>keyPoints1;

    vector<KeyPoint>keyPoints2;

    //特征点检测

    siftDetector.detect(srcImg1, keyPoints1);

    siftDetector.detect(srcImg2, keyPoints2);

    //绘制特征点(关键点)

    Mat feature_pic1, feature_pic2;

    //drawKeypoints(srcImg1, keyPoints1, feature_pic1, Scalar(0, 0, 255));

    drawKeypoints(srcImg2, keyPoints2, feature_pic2, Scalar(, , ));

    drawKeypoints(srcImg1, keyPoints1, feature_pic1, Scalar::all(-), DrawMatchesFlags::DRAW_RICH_KEYPOINTS);//颜色随机，带有方向

    //drawKeypoints(srcImg2, keyPoints2, feature_pic2, Scalar::all(-1), DrawMatchesFlags::DRAW_RICH_KEYPOINTS);

    //显示原图

    imshow("src1", srcImg1);

    imshow("src2", srcImg2);

    //显示结果

    imshow("feature1", feature_pic1);

    imshow("feature2", feature_pic2);

    waitKey();

}