如何在OpenCV 3.0和c ++中使用SIFT？ [英] How do I use SIFT in OpenCV 3.0 with c++?

问题描述

我有OpenCV 3.0，我已经编译&安装它与opencv_contrib模块，这不是一个问题。不幸的是，以前版本的示例不适用于当前版本，因此虽然此问题已多次我想一个更实际的例子，我可以实际使用。即使是官方示例也无法使用

I have OpenCV 3.0, and I have compiled & installed it with the opencv_contrib module so that's not a problem. Unfortunately the examples from previous versions do not work with the current one, and so although this question has already been asked more than once I would like a more current example that I can actually work with. Even the official examples don't work in this version (feature detection works but not other feature examples) and they use SURF anyway.

那么，我如何在C ++上使用OpenCV SIFT？在这个版本中（功能检测工作，但不是其他功能的例子），他们使用SURF。我想抓住两个图像中的关键点，并匹配它们，类似于这个例子，但即使只是得到点和描述符将是足够的帮助。帮助！

So, how do I use OpenCV SIFT on C++? I want to grab the keypoints in two images and match them, similar to this example, but even just getting the points and descriptors would be enough help. Help!

推荐答案

1. 获取 opencv_contrib repo


2. 把自己的时间花在你的时间，添加到你的主要 opencv cmake设置


3. 在主opencv库中重新运行cmake / make / install

1. get the opencv_contrib repo
2. take your time with the readme there, add it to your main opencv cmake settings
3. rerun cmake /make / install in the main opencv repo

然后：

   #include "opencv2/xfeatures2d.hpp"

  // 
  // now, you can no more create an instance on the 'stack', like in the tutorial
  // (yea, noticed for a fix/pr).
  // you will have to use cv::Ptr all the way down:
  //
  cv::Ptr<Feature2D> f2d = xfeatures2d::SIFT::create();
  //cv::Ptr<Feature2D> f2d = xfeatures2d::SURF::create();
  //cv::Ptr<Feature2D> f2d = ORB::create();
  // you get the picture, i hope..

  //-- Step 1: Detect the keypoints:
  std::vector<KeyPoint> keypoints_1, keypoints_2;    
  f2d->detect( img_1, keypoints_1 );
  f2d->detect( img_2, keypoints_2 );

  //-- Step 2: Calculate descriptors (feature vectors)    
  Mat descriptors_1, descriptors_2;    
  f2d->compute( img_1, keypoints_1, descriptors_1 );
  f2d->compute( img_2, keypoints_2, descriptors_2 );

  //-- Step 3: Matching descriptor vectors using BFMatcher :
  BFMatcher matcher;
  std::vector< DMatch > matches;
  matcher.match( descriptors_1, descriptors_2, matches );

也不要忘记链接opencv_xfeatures2d！

also, don't forget to link opencv_xfeatures2d !

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