【OpenCV】特征检测器FeatureDetector

int main()
{

initModule_nonfree();//if use SIFT or SURF
Ptr detector = FeatureDetector::create( "SIFT" );
Ptr descriptor_extractor = DescriptorExtractor::crea http://www.szhaoexport.com/linked/20130310.do te( "SIFT" );
Ptr descriptor_matcher = DescriptorMatcher::create( "BruteForce" );
if( detector.empty() || descriptor_extractor.empty() )
throw runtime_error("fail to create detector!");

Mat img1 = imread("images\\box_in_scene.png");
Mat img2 = imread("images\\box.png");

//detect keypoints;
vector keypoints1,keypoints2;
detector->detect( img1, keypoints1 );
detector->detect( img2, keypoints2 );
cout <<"img1:"<< keypoints1.size() << " points  img2:" <" << endl;

//compute descriptors for keypoints;
cout << "< Computing descriptors for keypoints from images..." << endl;
Mat descriptors1,descriptors2;
descriptor_extractor->compute( img1, keypoints1, descriptors1 );
descriptor_extractor->compute( img2, keypoints2, descriptors2 );

cout<"<" << endl;

//Draw And Match img1,img2 keypoints
Mat img_keypoints1,img_keypoints2;
drawKeypoints(img1,keypoints1,img_keypoints1,Scalar::all(-1),0);
drawKeypoints(img2,keypoints2,img_keypoints2,Scalar::all(-1),0);
imshow("Box_in_scene keyPoints",img_keypoints1);
imshow("Box keyPoints",img_keypoints2);

descriptor_extractor->compute( img1, keypoints1, descriptors1 );
vector matches;
descriptor_matcher->match( descriptors1, descriptors2, matches );

Mat img_matches;
drawMatches(img1,keypoints1,img2,keypoints2,matches,img_matches,Scalar::all(-1),CV_RGB(255,255,255),Mat(),4);

imshow("Mathc",img_matches);
waitKey(10000);
return 0;
} 特征检测成果如图： http://www.6699ysk.info/linked/20130310.do[/code]