Evaluate Quality of Matching with SVM [closed]

asked 2013-10-02 10:03:31 -0500

mike gravatar image

updated 2013-10-02 10:19:16 -0500

Siegfried gravatar image


I am implementing a BoF object detection and after training the SVM classifier I test it with the code below. My Problem is now that the classifier is not always right and I want to evaluate the quality of the matching. For example the tutorial about the extraction of SIFT/SURF Feature Points on http://docs.opencv.org/doc/tutorials/features2d/feature_flann_matcher/feature_flann_matcher.html, a distance measure between the feature vectors allows to judge if a matching is good or not. With the BoF I have a Support Vector Machine telling me match / nomatch. How can I evaluate the quality of the matching??


cout << "eval file " << filepath << endl;

    img = imread(filepath);
    bowide.compute(img, keypoints, response_hist);  //BOWImgDescriptorExtractor bowide

    for (map<string,CvSVM>::iterator it = classes_classifiers.begin(); it != classes_classifiers.end(); ++it) {
        float res = (*it).second.predict(response_hist,false);
        cout << "class: " << (*it).first << ", response: " << res << endl;

// cout << "."; } cout << endl; closedir( dp );

cout <<"done"<<endl;
return 0;
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Closed for the following reason question is not relevant or outdated by sturkmen
close date 2020-11-22 14:17:54.382653