我使用ORB特征检测器和提取器从一组灰度图像中获取特征。问题是，如果我尝试多次检测/提取同一张图像，我会得到不同的特征。因此，之后无法使用这些特征进行检测。

代码如下：

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);

或许有人对此有见解？

回答：

不应该出现这种情况…你应该得到一致的性能。不过，我分享了我在两张图像上使用ORB特征检测器和ORB描述符提取器的代码。你可以使用任何匹配器来匹配它们。希望这对你有帮助…

#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; }