我想在OpenCV 2.4.2中尝试新的类FREAK
。
我尝试使用特征检测器的通用接口来构造FREAK
,但是,当然,它不起作用。我应该如何修改我的代码以获得结果?
#include <stdio.h>
#include <iostream>
#include <opencv\cxcore.h>
#include <opencv2\nonfree\features2d.hpp>
#include <opencv\highgui.h>
#include <opencv2\features2d\features2d.hpp>
#include <vector>
using namespace std;
using namespace cv;
int main(){
Mat mat1;
mat1 = imread("Testimg06.jpg",0);
vector<KeyPoint> P1;
Ptr<FeatureDetector> freakdes;
Ptr<DescriptorExtractor> descriptorExtractor;
freakdes = FeatureDetector::create("FREAK");
freakdes->detect(mat1,P1);
Mat keypoint_img;
drawKeypoints( mat1, P1, keypoint_img, Scalar::all(-1), DrawMatchesFlags::DEFAULT );
imshow("Keypoints 1", keypoint_img );
cvWaitKey(0);
}
答案 0 :(得分:8)
FREAK仅是描述符。没有相应的特征检测器。
因此,您需要将其与一个可用的检测器结合使用:FAST,ORB,SIFT,SURF,MSER或使用goodFeaturesToTrack
功能。
答案 1 :(得分:7)
OpenCV example显示了如何将FREAK与FAST结合使用。
基本说明如下:
FREAK extractor;
BruteForceMatcher<Hamming> matcher;
std::vector<KeyPoint> keypointsA, keypointsB;
Mat descriptorsA, descriptorsB;
std::vector<DMatch> matches;
FAST(imgA,keypointsA,10);
FAST(imgB,keypointsB,10);
extractor.compute( imgA, keypointsA, descriptorsA );
extractor.compute( imgB, keypointsB, descriptorsB );
matcher.match(descriptorsA, descriptorsB, matches);