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Hi may be it can helpp

nclude header file "opencv2/features2d/features2d.hpp" where brisk class is implemented

//read some images in gray scale

const char * PimA="box.png"; // object const char * PimB="box_in_scene.png"; // image

cv::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 extracted float PatternScales=1.0f;

//declare a variable BRISKD of the type cv::BRISK

cv::BRISK BRISKD(Threshl,Octaves,PatternScales);//initialize algoritm BRISKD.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 use ///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 );

you can also use: Common Interfaces of Feature Detectors

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);

the result with this code is like at this http://docs.opencv.org/_images/Feature_Description_BruteForce_Result.jpg

Hi may be it can helpp

nclude header file "opencv2/features2d/features2d.hpp" where brisk class is implemented

//read some images in gray scale

const char * PimA="box.png"; // object const char * PimB="box_in_scene.png"; // image

cv::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 extracted float PatternScales=1.0f;

//declare a variable BRISKD of the type cv::BRISK

cv::BRISK BRISKD(Threshl,Octaves,PatternScales);//initialize algoritm BRISKD.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 use ///cv::FlannBasedMatcher matcher(new cv::flann::LshIndexParams(20,10,2));

std::vector<cv::DMatch> matches;
 matcher.match(descriptorsA, descriptorsB, matches);
 
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 );
 
you can also use: Common Interfaces of Feature Detectors
 
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);
 
the result with this code is like at this http://docs.opencv.org/_images/Feature_Description_BruteForce_Result.jpg