sruti_kalapatapu's profile - activity

@berak how do I modify //http://docs.opencv.org/modules/contrib/doc/facerec/tutorial/facerec_video_recognition.html to take an image as input?

@berak How do I compare an image of person with a set of images of the same person and give out a best match?

@berak is it okay to have the contrib folder outside the opencv source folder?

I get the following error:

    /home/sruthi/c++/flann_surf.cpp:25:37: error: ‘SURF’ has not been declared
     Ptr<FeatureDetector> detector = SURF::create();
                                     ^
/home/sruthi/c++/flann_surf.cpp:34:42: error: ‘SURF’ has not been declared
     Ptr<DescriptorExtractor> extractor = SURF::create();

@berak When I use surf.. I'm getting an error in spite of using the opencv 3 API.

I have some code which uses the Flann matcher and ORB detector to find features between two images of a person. I'm using opencv 3 on ubuntu. I have a few doubts.. The Code is as follows:

      #include <iostream>
#include </home/sruthi/opencv/include/opencv2/opencv.hpp>

using namespace cv;

//void readme();

/** @function main */
int main(int argc, char** argv)
{
   if( argc != 3 )
  { //readme(); 
     return -1; }

  Mat img_object = imread( argv[1], IMREAD_GRAYSCALE );
  Mat img_scene = imread( argv[2], IMREAD_GRAYSCALE );


    if (!img_object.data || !img_scene.data)
    {
        std::cout << " --(!) Error reading images " << std::endl; return -1;
    }

    //-- Step 1: Detect the keypoints using ORB Detector
    Ptr<FeatureDetector> detector = ORB::create();

    std::vector<KeyPoint> keypoints_object, keypoints_scene;

    detector->detect(img_object, keypoints_object);
    detector->detect(img_scene, keypoints_scene);

    //-- Step 2: Calculate descriptors (feature vectors)
    Ptr<DescriptorExtractor> extractor = ORB::create();

    Mat descriptors_object, descriptors_scene;

    extractor->compute(img_object, keypoints_object, descriptors_object);
    extractor->compute(img_scene, keypoints_scene, descriptors_scene);

    descriptors_object.convertTo(descriptors_object,CV_32F);
    descriptors_scene.convertTo(descriptors_scene,CV_32F);


    //-- Step 3: Matching descriptor vectors using FLANN matcher
    Ptr<DescriptorMatcher> matcher = DescriptorMatcher::create("FlannBased");
    std::vector< DMatch > matches;
    matcher->match(descriptors_object, descriptors_scene, matches);

    double max_dist = 0; double min_dist = 100;

    //-- Quick calculation of max and min distances between keypoints
    for (int i = 0; i < descriptors_object.rows; i++)
    {
        double dist = matches[i].distance;
        if (dist < min_dist) min_dist = dist;
        if (dist > max_dist) max_dist = dist;
    }

    printf("-- Max dist : %f \n", max_dist);
    printf("-- Min dist : %f \n", min_dist);

    //-- Draw only "good" matches (i.e. whose distance is less than 3*min_dist )
    std::vector< DMatch > good_matches;

    for (int i = 0; i < descriptors_object.rows; i++)
    {
        if (matches[i].distance < 3 * min_dist)
        {
            good_matches.push_back(matches[i]);
        }
    }

    Mat img_matches;

    drawMatches(img_object, keypoints_object, img_scene, keypoints_scene, good_matches, img_matches, Scalar::all(-1), Scalar::all(-1), std::vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS);

    //-- Localize the object
    std::vector<Point2f> obj;
    std::vector<Point2f> scene;
    for (int i = 0; i < good_matches.size(); i++)
    {
        //-- Get the keypoints from the good matches
        obj.push_back(keypoints_object[good_matches[i].queryIdx].pt);
        scene.push_back(keypoints_scene[good_matches[i].trainIdx].pt);
    }


    //-- Show detected matches
  imshow( "Good Matches", img_matches );

  for( int i = 0; i < (int)good_matches.size(); i++ )
  { printf( "-- Good Match [%d] Keypoint 1: %d  -- Keypoint 2: %d  \n", i, good_matches[i].queryIdx, good_matches[i].trainIdx ); }

    waitKey(0);
    return 0;


}

1. double max_dist = 0; double min_dist = 100; Why do we declare these distances as 0 and 100 respectively? As output I get Max dist : 488.559113 Min dist : 100.000000. It seems wrong.

   1. if (matches[i].distance < 3 * min_dist) { good_matches.push_back(matches[i]); } Why am I not able to change 3min_dist to 2min_dist? I get no matches if I do it.

   2. Is it compulsory that there have to parallel lines as shown in the official documentation. I dont get parallel lines. I'm not able to post a screenshot.