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moved nonfree and a part of features2d to opencv_contrib/xfeatures2d
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@@ -23,7 +23,7 @@ Theory
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Code
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====
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This tutorial code's is shown lines below. You can also download it from `here <https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/features2D/SURF_descriptor.cpp>`_
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This tutorial code's is shown lines below.
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.. code-block:: cpp
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@@ -32,9 +32,10 @@ This tutorial code's is shown lines below. You can also download it from `here <
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#include "opencv2/core.hpp"
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#include "opencv2/features2d.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/nonfree.hpp"
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#include "opencv2/xfeatures2d.hpp"
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using namespace cv;
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using namespace cv::xfeatures2d;
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void readme();
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@@ -50,25 +51,19 @@ This tutorial code's is shown lines below. You can also download it from `here <
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if( !img_1.data || !img_2.data )
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{ return -1; }
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//-- Step 1: Detect the keypoints using SURF Detector
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//-- Step 1: Detect the keypoints using SURF Detector, compute the descriptors
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int minHessian = 400;
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SurfFeatureDetector detector( minHessian );
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Ptr<SURF> detector = SURF::create();
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detector->setMinHessian(minHessian);
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std::vector<KeyPoint> keypoints_1, keypoints_2;
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detector.detect( img_1, keypoints_1 );
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detector.detect( img_2, keypoints_2 );
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//-- Step 2: Calculate descriptors (feature vectors)
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SurfDescriptorExtractor extractor;
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Mat descriptors_1, descriptors_2;
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extractor.compute( img_1, keypoints_1, descriptors_1 );
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extractor.compute( img_2, keypoints_2, descriptors_2 );
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detector->detectAndCompute( img_1, keypoints_1, descriptors_1 );
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detector->detectAndCompute( img_2, keypoints_2, descriptors_2 );
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//-- Step 3: Matching descriptor vectors with a brute force matcher
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//-- Step 2: Matching descriptor vectors with a brute force matcher
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BFMatcher matcher(NORM_L2);
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std::vector< DMatch > matches;
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matcher.match( descriptors_1, descriptors_2, matches );
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