Removed Sphinx documentation files

2014-12-24 18:37:57 +03:00
parent 61991a3330
commit d01bedbc61
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-.. _feature_description:
-
-Feature Description
-*******************
-
-Goal
-=====
-
-In this tutorial you will learn how to:
-
-.. container:: enumeratevisibleitemswithsquare
-
-   * Use the :descriptor_extractor:`DescriptorExtractor<>` interface in order to find the feature vector correspondent to the keypoints. Specifically:
-
-     * Use :surf_descriptor_extractor:`SurfDescriptorExtractor<>` and its function :descriptor_extractor:`compute<>` to perform the required calculations.
-     * Use a :brute_force_matcher:`BFMatcher<>`	to match the features vector
-     * Use the function :draw_matches:`drawMatches<>` to draw the detected matches.
-
-
-Theory
-======
-
-Code
-====
-
-This tutorial code's is shown lines below.
-
-.. code-block:: cpp
-
-   #include <stdio.h>
-   #include <iostream>
-   #include "opencv2/core.hpp"
-   #include "opencv2/features2d.hpp"
-   #include "opencv2/highgui.hpp"
-   #include "opencv2/xfeatures2d.hpp"
-
-   using namespace cv;
-   using namespace cv::xfeatures2d;
-
-   void readme();
-
-   /* @function main */
-   int main( int argc, char** argv )
-   {
-     if( argc != 3 )
-      { return -1; }
-
-     Mat img_1 = imread( argv[1], IMREAD_GRAYSCALE );
-     Mat img_2 = imread( argv[2], IMREAD_GRAYSCALE );
-
-     if( !img_1.data || !img_2.data )
-      { return -1; }
-
-     //-- Step 1: Detect the keypoints using SURF Detector, compute the descriptors
-     int minHessian = 400;
-
-     Ptr<SURF> detector = SURF::create();
-     detector->setMinHessian(minHessian);
-
-     std::vector<KeyPoint> keypoints_1, keypoints_2;
-     Mat descriptors_1, descriptors_2;
-
-     detector->detectAndCompute( img_1, keypoints_1, descriptors_1 );
-     detector->detectAndCompute( img_2, keypoints_2, descriptors_2 );
-
-     //-- Step 2: Matching descriptor vectors with a brute force matcher
-     BFMatcher matcher(NORM_L2);
-     std::vector< DMatch > matches;
-     matcher.match( descriptors_1, descriptors_2, matches );
-
-     //-- Draw matches
-     Mat img_matches;
-     drawMatches( img_1, keypoints_1, img_2, keypoints_2, matches, img_matches );
-
-     //-- Show detected matches
-     imshow("Matches", img_matches );
-
-     waitKey(0);
-
-     return 0;
-     }
-
-    /* @function readme */
-    void readme()
-    { std::cout << " Usage: ./SURF_descriptor <img1> <img2>" << std::endl; }
-
-Explanation
-============
-
-Result
-======
-
-#. Here is the result after applying the BruteForce matcher between the two original images:
-
-   .. image:: images/Feature_Description_BruteForce_Result.jpg
-      :align: center
-      :height: 200pt