我正在使用ORB特征检测器和提取器从灰度图像列表中获取特征。 问题是,如果我尝试检测\提取它,我会从同一图像中获得不同的功能 不止一次。因此以后不可能将它们用于检测。
代码:
bmp=BitmapFactory.decodeResource(getResources(),R.drawable.t1);
Utils.bitmapToMat(bmp, mat);
FeatureDetector detector = FeatureDetector.create(FeatureDetector.ORB);
detector.detect(mat, keypoints);
DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.ORB);
extractor.compute(mat, keypoints, features);
也许有人对此有所了解?
答案 0 :(得分:2)
情况不应该如此......你应该得到一致的表现。但是,我正在共享我的代码,以便在两个图像上使用Orb Feature检测器和Orb Descriptor Extractor。您可以使用任何匹配器来匹配它们。希望这有助于你...
#include "iostream"
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/nonfree/nonfree.hpp>
#include <opencv2/nonfree/features2d.hpp>
#include <opencv2/flann/flann.hpp>
#include <opencv2/legacy/legacy.hpp>
#include <vector>
using namespace cv;
using namespace std;
int main()
{
Mat image1,image2;
imageA = imread("C:\\lena.jpg",0);
imageB = imread("C:\\lena1.bmp",0);
vector<KeyPoint> keypointsA,keypointsB;
Mat descriptorsA,descriptorsB;
std::vector<DMatch> matches;
OrbFeatureDetector detector;
OrbDescriptorExtractor extractor;
BruteForceMatcher<Hamming> matcher;
detector.detect(imageA,keypointsA);
detector.detect(imageB,keypointsB);
extractor.compute(imageA,keypointsA,descriptorsA);
extractor.compute(imageB,keypointsB,descriptorsB);
return 0;
}