I'm trying to get similar results as in
"http://docs.opencv.org/2.4/doc/tutorials/features2d/feature_flann_matcher/feature_flann_matcher.html#feature-flann-matcher"
but I'm employing ORB rather than SURF and bruteforce instead of FLANN. Descriptors and matches I get seem almost random.
My code is as follows
package main;
import java.util.ArrayList;
import java.util.List;
import org.opencv.features2d.*;
import org.opencv.core.*;
import org.opencv.imgcodecs.*;
public class Main
{
public static void main(String[] args)
{
System.loadLibrary("opencv_java310");
Mat img1 = Imgcodecs.imread("D:\\Projects\\HelloOpenCV\\box.png", Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);
Mat img2 = Imgcodecs.imread("D:\\Projects\\HelloOpenCV\\box_in_scene.png", Imgcodecs.CV_LOAD_IMAGE_GRAYSCALE);
FeatureDetector detector = FeatureDetector.create(FeatureDetector.ORB);
MatOfKeyPoint keypoints1 = new MatOfKeyPoint();
detector.detect(img1, keypoints1);
FeatureDetector detector2 = FeatureDetector.create(FeatureDetector.ORB);
MatOfKeyPoint keypoints2 = new MatOfKeyPoint();
detector2.detect(img2, keypoints2);
DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.ORB);
Mat descriptors1 = new Mat();
extractor.compute(img1, keypoints1, descriptors1);
DescriptorExtractor extractor2 = DescriptorExtractor.create(DescriptorExtractor.ORB);
Mat descriptors2 = new Mat();
extractor2.compute(img2, keypoints2, descriptors2);
DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.BRUTEFORCE);
MatOfDMatch matches = new MatOfDMatch();
matcher.match(descriptors1, descriptors2, matches);
/**/
List matchesList = matches.toList();
double maxDistance = 0;
double minDistance = 1000;
int rowCount = matchesList.size();
for (int i = 0; i < rowCount; i++)
{
double dist = matchesList.get(i).distance;
if (dist < minDistance) minDistance = dist;
if (dist > maxDistance) maxDistance = dist;
}
List goodMatchesList = new ArrayList();
double upperBound = 1.6 * minDistance;
for (int i = 0; i < rowCount; i++)
{
if (matchesList.get(i).distance <= upperBound)
{
goodMatchesList.add(matchesList.get(i));
}
}
MatOfDMatch goodMatches = new MatOfDMatch();
goodMatches.fromList(goodMatchesList);
Mat img_matches = new Mat();
Features2d.drawMatches(img1, keypoints1, img2, keypoints2, goodMatches, img_matches);
Imgcodecs.imwrite("D:\\Projects\\HelloOpenCV\\Test.bmp", img_matches);
}
}
I feel I'm missing something trivial here. I tried AKAZE/AKAZE either, result was different but not better.
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