12/17/2013

Finding largest subset images that is only adjacent(subsequnce) images, (OpenCV, SurfFeaturesFinder, BestOf2NearestMatcher, leaveBiggestComponent funcions example souce code)

The souce code flow is like that...

1.
find features in each images using SurfFeaturesFinder function.
Features value is contained in the ImageFeatures structure.

2.
Matching features.
Matcher(features, pairwise_matches, matching_mask)
in the source code, features is vector.
So the Matcher function get matcing value of each pair images.

3.
leave biggest component,
Using conf_threshold, the function leaves largest correlation images.

Input
Input image is 6 images.
4 images are sequence images, 2 images is another sequence images.

Output
The souce code gives the result that is index of subset images of 4 images component.



////
#include < stdio.h >  
#include < opencv2\opencv.hpp >  
#include < opencv2\features2d\features2d.hpp >
#include < opencv2\nonfree\features2d.hpp >
#include < opencv2\stitching\detail\matchers.hpp >
#include < opencv2\stitching\stitcher.hpp >


#ifdef _DEBUG  
#pragma comment(lib, "opencv_core247d.lib")   
//#pragma comment(lib, "opencv_imgproc247d.lib")   //MAT processing  
//#pragma comment(lib, "opencv_objdetect247d.lib")   
//#pragma comment(lib, "opencv_gpu247d.lib")  
#pragma comment(lib, "opencv_features2d247d.lib")  
#pragma comment(lib, "opencv_highgui247d.lib")  
//#pragma comment(lib, "opencv_ml247d.lib")
#pragma comment(lib, "opencv_stitching247d.lib");
#pragma comment(lib, "opencv_nonfree247d.lib");

#else  
#pragma comment(lib, "opencv_core247.lib")  
//#pragma comment(lib, "opencv_imgproc247.lib")  
//#pragma comment(lib, "opencv_objdetect247.lib")  
//#pragma comment(lib, "opencv_gpu247.lib")  
#pragma comment(lib, "opencv_features2d247.lib")  
#pragma comment(lib, "opencv_highgui247.lib")  
//#pragma comment(lib, "opencv_ml247.lib")  
#pragma comment(lib, "opencv_stitching247.lib");
#pragma comment(lib, "opencv_nonfree247.lib");
#endif  

using namespace cv;  
using namespace std;


void main()  
{
 vector< Mat > vImg;
 Mat rImg;

 vImg.push_back( imread("./m7.jpg") );
 vImg.push_back( imread("./B1.jpg") );
 vImg.push_back( imread("./m9.jpg") );
 vImg.push_back( imread("./m6.jpg") );
 vImg.push_back( imread("./B2.jpg") );
 vImg.push_back( imread("./m8.jpg") );
 

 //feature extract
 detail::SurfFeaturesFinder FeatureFinder;
 vector< detail::ImageFeatures> features;
 
 for(int i=0; i< vImg.size(); ++i)
 {  
  detail::ImageFeatures F;
  FeatureFinder(vImg[i], F);  
  features.push_back(F);
  features[i].img_idx = i;
  printf("Keypoint of [%d] - %d points \n", i, features[i].keypoints.size() );
 }
 FeatureFinder.collectGarbage();

 //match
 vector<  int> indices_;
 double conf_thresh_ = 1.0;
 Mat matching_mask;
 vector<  detail::MatchesInfo> pairwise_matches;
 detail::BestOf2NearestMatcher Matcher;
 Matcher(features, pairwise_matches, matching_mask);
 Matcher.collectGarbage();

 printf("\nBiggest subset is ...\n");
 // Leave only images we are sure are from the same panorama 
 indices_ = detail::leaveBiggestComponent(features, pairwise_matches, (float)conf_thresh_);
 Matcher.collectGarbage();

 for (size_t i = 0; i <  indices_.size(); ++i)
    {
  printf("%d \n", indices_[i] );
 }
 

}

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