FLANN特征匹配
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2022-06-11 12:11:47
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C++源码
#include <opencv2/opencv.hpp>
#include <opencv2/xfeatures2d.hpp>
using namespace cv;
using namespace std;
using namespace cv::xfeatures2d;
int main()
{
Mat srcImage = imread("curry_dlt.jpg");
Mat dstImage = imread("curry1.jpg");
// surf 特征提取
int minHessian = 450;
Ptr<SURF> detector = SURF::create(minHessian);
vector<KeyPoint> keypoints_src;
vector<KeyPoint> keypoints_dst;
Mat descriptor_src, descriptor_dst;
detector->detectAndCompute(srcImage, Mat(), keypoints_src, descriptor_src);
detector->detectAndCompute(dstImage, Mat(), keypoints_dst, descriptor_dst);
// matching
FlannBasedMatcher matcher;
vector<DMatch> matches;
matcher.match(descriptor_dst, descriptor_src, matches);
// find good matched points
double minDist = 0, maxDist = 0;
for (size_t i = 0; i < matches.size(); i++)
{
double dist = matches[i].distance;
if (dist > maxDist)
maxDist = dist;
if (dist < minDist)
minDist = dist;
}
vector<DMatch> goodMatches;
for (size_t i = 0; i < matches.size(); i++)
{
double dist = matches[i].distance;
if (dist < max(3 * minDist, 0.02))
{
goodMatches.push_back(matches[i]);
}
}
Mat matchesImage;
drawMatches(dstImage, keypoints_dst, srcImage, keypoints_src, goodMatches, matchesImage, Scalar::all(-1), \
Scalar::all(-1), vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS);
imshow("matchesImage", matchesImage);
waitKey(0);
return 0;
}
blog 2 link:http://www.pianshen.com/article/5346279399/
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