这些天我正在学习C ++和OpenCV。鉴于图像,我想提取其SIFT功能。从http://docs.opencv.org/modules/nonfree/doc/feature_detection.html开始,我们可以知道OpenCV 2.4.8具有SIFT模块。 看这里:
但我不知道如何使用它。目前,要使用SIFT,我需要先调用类SIFT来获取SIFT实例。然后,我需要使用SIFT::operator()()
来做SIFT。
但是OutputArray
,InputArray
,KeyPoint
是什么?任何人都可以举一个演示来展示如何使用SIFT
类来做SIFT吗?
答案 0 :(得分:16)
请参阅Sift implementation with OpenCV 2.2
中的示例#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;
}
在OpenCV 2.4.8上测试
答案 1 :(得分:3)
OpenCV 4.2.0的更新(当然,不要忘记链接opencv_xfeatures2d420.lib)
#include <opencv2/core.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/xfeatures2d.hpp>
int main(int argc, char** argv)
{
const cv::Mat input = cv::imread("input.jpg", 0); //Load as grayscale
cv::Ptr<cv::xfeatures2d::SIFT> siftPtr = cv::xfeatures2d::SIFT::create();
std::vector<cv::KeyPoint> keypoints;
siftPtr->detect(input, keypoints);
// Add results to image and save.
cv::Mat output;
cv::drawKeypoints(input, keypoints, output);
cv::imwrite("sift_result.jpg", output);it.
return 0;
}
答案 2 :(得分:1)
更新OpenCV3
#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::Ptr<cv::SiftFeatureDetector> detector = cv::SiftFeatureDetector::create();
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;
}
答案 3 :(得分:0)
我对opencv3有同样的问题,但我找到了this 。它解释了为什么SIFT和SURF从OpenCV 3.0的默认安装中删除以及如何在OpenCV 3中使用SIFT和SURF。