标签:opencv flann flannbasedmatcher
OpenCV入门 - 关键点描述子匹配Flann-based#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/nonfree/features2d.hpp> //
#include <iostream>
using namespace cv;
using namespace std;
int main(int argc, const char *argv[]){
Mat car1 = imread("car1.jpeg", 0);// load as grayscale
Mat car2 = imread("car2.jpeg", 0);
//cv::resize(car1,car1,car2.size());
SiftFeatureDetector detector;
vector<KeyPoint> keypoints1, keypoints2;
detector.detect(car1, keypoints1);
detector.detect(car2, keypoints2);
cout << "# keypoints of car1 :" << keypoints1.size() << endl;
cout << "# keypoints of car2 :" << keypoints2.size() << endl;
Mat descriptors1,descriptors2;
Ptr<DescriptorExtractor> extractor = DescriptorExtractor::create("SIFT");
extractor->compute(car1,keypoints1,descriptors1);
extractor->compute(car2,keypoints2,descriptors2);
FlannBasedMatcher matcher;
vector<DMatch> matches;
matcher.match(descriptors1, descriptors2, matches);
cout << "# matches : " << matches.size() << endl;
//calc max and min keypoints distance
double maxdist=0, mindist=100;
for(int i=0;i<descriptors1.rows;i++){
double dist = matches[i].distance;
//cout << "test" << dist << endl;
if(dist<mindist)
mindist = dist;
if(dist > maxdist)
maxdist = dist;
}
cout << "Max distance:" << maxdist << "Min distance:" << mindist << endl;
// Get good matches (? distance is lesss than 2*min)
vector<DMatch> goods;
for(int i=0;i<descriptors1.rows;i++){
if(matches[i].distance < 2*mindist)
goods.push_back(matches[i]);
}
cout << "# good matches : " << goods.size() << endl;
// show it on an image
Mat output;
drawMatches(car1, keypoints1, car2, keypoints2,
goods, output, Scalar::all(-1), Scalar::all(-1),
vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS);
imshow("good matches result",output);
waitKey(0);
return 0;
}OpenCV入门 - 关键点描述子匹配Flann-based
标签:opencv flann flannbasedmatcher
原文地址:http://blog.csdn.net/vonzhoufz/article/details/45670193