I am learning C++ and OpenCV these days. Given an image, I want to extract its SIFT features. From http://docs.opencv.org/modules/nonfree/doc/feature_detection.html, we can know that OpenCV 2.4.8 has the SIFT module. See here:
But I do not know how to use it. Currently, to use SIFT, I need to first call the class SIFT to get a SIFT instance. Then, I need to use SIFT::operator()()
to do SIFT.
But what is OutputArray
, InputArray
, KeyPoint
? Could anyone give a demo to show how to use SIFT
class to do SIFT?
See the example from Sift implementation with OpenCV 2.2
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/nonfree/features2d.hpp> //Thanks to Alessandro
int main(int argc, const char* argv[])
{
const cv::Mat input = cv::imread("input.jpg", 0); //Load as grayscale
cv::SiftFeatureDetector detector;
std::vector<cv::KeyPoint> keypoints;
detector.detect(input, keypoints);
// Add results to image and save.
cv::Mat output;
cv::drawKeypoints(input, keypoints, output);
cv::imwrite("sift_result.jpg", output);
return 0;
}
Tested on OpenCV 2.4.8