我正在使用 opencv 2.3 实现筛选。
#include <opencv2/core/core.hpp>
#include <opencv2/features2d/features2d.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <vector>
using namespace std;
using namespace cv;
int main(int argc, char *argv[])
{
Mat image = imread("TestImage.jpg");
// Create smart pointer for SIFT feature detector.
Ptr<FeatureDetector> featureDetector = FeatureDetector::create("SIFT");
vector<KeyPoint> keypoints;
// Detect the keypoints
featureDetector->detect(image, keypoints); // NOTE: featureDetector is a pointer hence the '->'.
//Similarly, we create a smart pointer to the SIFT extractor.
Ptr<DescriptorExtractor> featureExtractor = DescriptorExtractor::create("SIFT");
// Compute the 128 dimension SIFT descriptor at each keypoint.
// Each row in "descriptors" correspond to the SIFT descriptor for each keypoint
Mat descriptors;
featureExtractor->compute(image, keypoints, descriptors);
// If you would like to draw the detected keypoint just to check
Mat outputImage;
Scalar keypointColor = Scalar(255, 0, 0); // Blue keypoints.
drawKeypoints(image, keypoints, outputImage, keypointColor, DrawMatchesFlags::DEFAULT);
namedWindow("Output");
imshow("Output", outputImage);
char c = ' ';
while ((c = waitKey(0)) != 'q'); // Keep window there until user presses 'q' to quit.
return 0;
}
如何更改默认的 CommonParams、DetectorParams、DescriptorParams 参数。