FeatureDetector::detect

Detects keypoints in an image (first variant) or image set (second variant).

FeatureDetector::create

The following detector types are supported:

• "FAST" – FastFeatureDetector
• "STAR" – StarFeatureDetector
• "SIFT" – SIFT (nonfree module)
• "SURF" – SURF (nonfree module)
• "ORB" – ORB
• "BRISK" – BRISK
• "MSER" – MSER
• "GFTT" – GoodFeaturesToTrackDetector
• "HARRIS" – GoodFeaturesToTrackDetector with Harris detector enabled
• "Dense" – DenseFeatureDetector
• "SimpleBlob" – SimpleBlobDetector

Also a combined format is supported: feature detector adapter name ( "Grid" – GridAdaptedFeatureDetector, "Pyramid"– PyramidAdaptedFeatureDetector ) + feature detector name (see above), for example: "GridFAST", "PyramidSTAR" .

 

好强大 ~~

Code

#include "stdafx.h"#include <stdio.h>#include <iostream>#include "opencv2/core/core.hpp"#include "opencv2/features2d/features2d.hpp"#include "opencv2/nonfree/features2d.hpp"#include "opencv2/highgui/highgui.hpp"#include "opencv2/nonfree/nonfree.hpp"using namespace cv;void readme();/** @function main */int main( int argc, char** argv ){	if( argc != 3 )	{ readme(); return -1; }	Mat img_1 = imread( "img1.jpg", CV_LOAD_IMAGE_GRAYSCALE );	Mat img_2 = imread( "img2.jpg", CV_LOAD_IMAGE_GRAYSCALE );	if( !img_1.data || !img_2.data )	{ std::cout<< " --(!) Error reading images " << std::endl; return -1; }	//-- Step 1: Detect the keypoints using SURF Detector	int minHessian = 400;	SurfFeatureDetector detector( minHessian );	std::vector<KeyPoint> keypoints_1, keypoints_2;	detector.detect( img_1, keypoints_1 );	detector.detect( img_2, keypoints_2 );	//-- Draw keypoints	Mat img_keypoints_1; Mat img_keypoints_2;	drawKeypoints( img_1, keypoints_1, img_keypoints_1, Scalar::all(-1), DrawMatchesFlags::DEFAULT );	drawKeypoints( img_2, keypoints_2, img_keypoints_2, Scalar::all(-1), DrawMatchesFlags::DEFAULT );	//-- Show detected (drawn) keypoints	imshow("Keypoints 1", img_keypoints_1 );	imshow("Keypoints 2", img_keypoints_2 );	waitKey(0);	return 0;}/** @function readme */void readme(){ std::cout << " Usage: ./SURF_detector <img1> <img2>" << std::endl; }

OpenCV Tutorials —— Feature Detection