Java Code Examples for org.opencv.core.TermCriteria#EPS

The following examples show how to use org.opencv.core.TermCriteria#EPS . You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may check out the related API usage on the sidebar.
Example 1
Source File: KMeansMatcher.java    From mvisc with GNU General Public License v3.0 4 votes vote down vote up 
public void computeModel(ArrayList<MetaData> photos)
{
	numPhotos = photos.size();
	model.setNumPhotos(numPhotos);

	MatOfKeyPoint[] keypoints = new MatOfKeyPoint[numPhotos];
	Mat[] descriptors = new Mat[numPhotos];
	Mat allDescriptors = new Mat();
	ArrayList<Integer> descriptorLabels = new ArrayList<Integer>();

	// compute keypoints and descriptors
	Mat currentImg = null;
	for (int a = 0; a < numPhotos; a++)
	{
		// System.out.println("now:" + animalFiles.get(a));
		currentImg = Highgui.imread(photos.get(a).getZooName().toString(), 0);
		Imgproc.resize(currentImg, currentImg, new Size(150, 250));
		Imgproc.equalizeHist(currentImg, currentImg);
		Imgproc.threshold(currentImg, currentImg, 127, 255, Imgproc.THRESH_BINARY);

		featureDetector.detect(currentImg, keypoints[a]);
		descriptorExtractor.compute(currentImg, keypoints[a], descriptors[a]);

		allDescriptors.push_back(descriptors[a]);

		for (int i = 0; i < descriptors[a].rows(); i++)
			descriptorLabels.add(a);
	}
	System.out.println("label size:" + descriptorLabels.size());

	Mat clusterLabels = new Mat();
	Mat centers = new Mat();

	// set up all desriptors, init criteria
	allDescriptors.convertTo(allDescriptors, CvType.CV_32F);
	TermCriteria criteria = new TermCriteria(TermCriteria.EPS + TermCriteria.MAX_ITER, 100, 0.1);
	long before = System.currentTimeMillis();
	
	// compute clusters
	System.out.print("creating kmeans clusters...");
	Core.kmeans(allDescriptors, k, clusterLabels, criteria, 10, Core.KMEANS_PP_CENTERS, centers);
	System.out.println("done.");

	// map k-means centroid labels to descriptors of all images
	ArrayList<ArrayList<Integer>> clusterImageMap = new ArrayList<ArrayList<Integer>>();
	for (int nk = 0; nk < k + 1; nk++)
		clusterImageMap.add(new ArrayList<Integer>());
	for (int r = 0; r < clusterLabels.rows(); r++)
		clusterImageMap.get((int) clusterLabels.get(r, 0)[0]).add(descriptorLabels.get(r));

	model.setCentroids(centers);
	model.setLabels(clusterLabels);
	model.setClusterImageMap(clusterImageMap);
	model.setKeypoints(keypoints);
	model.setDescriptors(descriptors);

}
Example 2
Source File: LKTracker.java    From OpenTLDAndroid with Apache License 2.0 4 votes vote down vote up 
LKTracker(){
	termCriteria = new TermCriteria(TermCriteria.COUNT + TermCriteria.EPS, MAX_COUNT, EPSILON);
}