1. Use a custom class implementation form
Another way to get brisk in opencv 2.4.3
Include header file "opencv2/features2d/features2d. HPP" where brisk class is implemented
// Read some images in gray scale
const char * PimA="box.png"; // objectconst char * PimB="box_in_scene.png"; // imagecv::Mat GrayA =cv::imread(PimA);cv::Mat GrayB =cv::imread(PimB);std::vector<cv::KeyPoint> keypointsA, keypointsB;cv::Mat descriptorsA, descriptorsB;
// Set brisk Parameters
int Threshl=60;int Octaves=4; (pyramid layer) from which the keypoint has been extractedfloat PatternScales=1.0f;
// Declare a variable briskd of the type CV: Brisk
cv::BRISK BRISKD(Threshl,Octaves,PatternScales);//initialize algoritmBRISKD.create("Feature2D.BRISK");BRISKD.detect(GrayA, keypointsA);BRISKD.compute(GrayA, keypointsA,descriptorsA);BRISKD.detect(GrayB, keypointsB);BRISKD.compute(GrayB, keypointsB,descriptorsB);
Declare one type off matcher
cv::BruteForceMatcher<cv::Hamming> matcher;
Another match that can be used
//cv::FlannBasedMatcher matcher(new cv::flann::LshIndexParams(20,10,2)); std::vector<cv::DMatch> matches; matcher.match(descriptorsA, descriptorsB, matches); cv::Mat all_matches; cv::drawMatches( GrayA, keypointsA, GrayB, keypointsB, matches, all_matches, cv::Scalar::all(-1), cv::Scalar::all(-1), vector<char>(),cv::DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS ); cv::imshow( "BRISK All Matches", all_matches ); cv::waitKey(0); IplImage* outrecog = new IplImage(all_matches); cvSaveImage( "BRISK All Matches.jpeg", outrecog );
2. Use common interfaces
cv::Ptr<cv::FeatureDetector> detector = cv::Algorithm::create<cv::FeatureDetector>("Feature2D.BRISK");detector->detect(GrayA, keypointsA);detector->detect(GrayB, keypointsB);cv::Ptr<cv::DescriptorExtractor> descriptorExtractor =cv::Algorithm::create<cv::DescriptorExtractor>("Feature2D.BRISK");descriptorExtractor->compute(GrayA, keypointsA, descriptorsA);descriptorExtractor->compute(GrayB, keypointsB, descriptorsB);