opencv/samples/cpp/matchmethod_orb_akaze_brisk.cpp

93 lines
3.4 KiB
C++

#include <opencv2/opencv.hpp>
#include <vector>
#include <iostream>
using namespace std;
using namespace cv;
int main(void)
{
vector<String> typeAlgoMatch;
typeAlgoMatch.push_back("BruteForce");
typeAlgoMatch.push_back("BruteForce-Hamming");
typeAlgoMatch.push_back("BruteForce-Hamming(2)");
vector<String> typeDesc;
typeDesc.push_back("AKAZE");
typeDesc.push_back("ORB");
typeDesc.push_back("BRISK");
String dataFolder("../data/");
vector<String> fileName;
fileName.push_back("basketball1.png");
fileName.push_back("basketball2.png");
Mat img1 = imread(dataFolder+fileName[0], IMREAD_GRAYSCALE);
Mat img2 = imread(dataFolder+fileName[1], IMREAD_GRAYSCALE);
Ptr<Feature2D> b;
vector<String>::iterator itDesc;
// Descriptor loop
for (itDesc = typeDesc.begin(); itDesc != typeDesc.end(); itDesc++){
Ptr<DescriptorMatcher> descriptorMatcher;
vector<DMatch> matches; /*<! Match between img and img2*/
vector<KeyPoint> keyImg1; /*<! keypoint for img1 */
vector<KeyPoint> keyImg2; /*<! keypoint for img2 */
Mat descImg1, descImg2; /*<! Descriptor for img1 and img2 */
vector<String>::iterator itMatcher = typeAlgoMatch.end();
if (*itDesc == "AKAZE"){
b = AKAZE::create();
}
if (*itDesc == "ORB"){
b = ORB::create();
}
else if (*itDesc == "BRISK"){
b = BRISK::create();
}
try {
b->detect(img1, keyImg1, Mat());
b->compute(img1, keyImg1, descImg1);
b->detectAndCompute(img2, Mat(),keyImg2, descImg2,false);
// Match method loop
for (itMatcher = typeAlgoMatch.begin(); itMatcher != typeAlgoMatch.end(); itMatcher++){
descriptorMatcher = DescriptorMatcher::create(*itMatcher);
descriptorMatcher->match(descImg1, descImg2, matches, Mat());
// Keep best matches only to have a nice drawing
Mat index;
Mat tab(matches.size(), 1, CV_32F);
for (int i = 0; i<matches.size(); i++)
tab.at<float>(i, 0) = matches[i].distance;
sortIdx(tab, index, SORT_EVERY_COLUMN + SORT_ASCENDING);
vector<DMatch> bestMatches; /*<! best match */
for (int i = 0; i<30; i++)
bestMatches.push_back(matches[index.at<int>(i, 0)]);
Mat result;
drawMatches(img1, keyImg1, img2, keyImg2, bestMatches, result);
namedWindow(*itDesc+": "+*itMatcher, WINDOW_AUTOSIZE);
imshow(*itDesc + ": " + *itMatcher, result);
FileStorage fs(*itDesc+"_"+*itMatcher+"_"+fileName[0]+"_"+fileName[1]+".xml", FileStorage::WRITE);
fs<<"Matches"<<matches;
vector<DMatch>::iterator it;
cout << "Index \tIndex \tindex \tdistance\n";
cout << "in img1\tin img2\timage\t\n";
for (it = matches.begin(); it != matches.end(); it++)
cout << it->queryIdx << "\t" << it->trainIdx << "\t" << it->imgIdx << "\t" << it->distance<<"\n";
waitKey();
}
}
catch (Exception& e){
cout << "Feature : " << *itDesc << "\n";
if (itMatcher != typeAlgoMatch.end())
cout << "Matcher : " << *itMatcher << "\n";
cout<<e.msg<<endl;
}
}
return 0;
}