The code snippet below shows the basics of training a descriptor matcher used in object recognition.
detector = cv.FeatureDetector('ORB');
extractor = cv.DescriptorExtractor('ORB');
matcher = cv.DescriptorMatcher('BruteForce-Hamming')
for(i=1 to N)
{
detector(i) = detector.detect(image(i));
descriptor(i) = extractor.compute(image(i),detector(i));
matcher.add(descriptor(i));
}
matcher.train();
The code is not syntactically correct, however I want to know how the train() function of matcher works here.