1 | initial version |
Actually this is not a answer but a long comment for @berak. As the mention, I make a new code for this target
#include<opencv.hpp>
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/calib3d/calib3d.hpp"
#include "opencv2/nonfree/nonfree.hpp"
using namespace cv;
using namespace std;
int main() {
Mat rightImg = imread("right.jpg", 0);
Mat leanImg = imread("lean.jpg", 0);
if (!rightImg.data || !leanImg.data) {
cout << "Fail to read your image. Please check your path.\n";
return -1;
}
resize(leanImg, leanImg, rightImg.size());
int minHessian = 400;
SurfFeatureDetector detector(minHessian);
vector<KeyPoint> keypoints_right, keypoints_lean;
detector.detect(rightImg, keypoints_right);
detector.detect(leanImg, keypoints_lean);
Mat med_right, med_lean;
drawKeypoints(rightImg, keypoints_right, med_right);
drawKeypoints(leanImg, keypoints_lean, med_lean);
SurfDescriptorExtractor extractor;
Mat descriptors_right, descriptors_lean;
extractor.compute(rightImg, keypoints_right, descriptors_right);
extractor.compute(leanImg, keypoints_lean, descriptors_lean);
FlannBasedMatcher matcher;
vector< DMatch > matches;
/*New mask*/
Mat mask(descriptors_right.rows, descriptors_lean.rows, CV_8UC1, Scalar(0));
Mat target(rightImg.size(), CV_8UC1, Scalar(255));
ellipse(target, Point(rightImg.cols / 2, rightImg.rows / 2), Size(rightImg.cols / 2, rightImg.rows / 2), 0, 0, 360, Scalar(0), CV_FILLED);
for (int i = 0; i < mask.rows; i++) {
uchar* pixrow = mask.ptr<uchar>(i);
for (int j = 0; j < mask.cols; j++) {
if (target.at<uchar>(keypoints_right[i].pt) == 255)
pixrow[j] = 255;
}
}
/*New mask*/
matcher.match(descriptors_right, descriptors_lean, matches, mask);
Mat img_matches;
drawMatches(rightImg, keypoints_right, leanImg, keypoints_lean,
matches, img_matches, Scalar::all(-1), Scalar::all(-1),
vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS);
return 0;
}
But it seem don't work me still..