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iOSで正常に動作する次のようなコードがあり、そのコードをAndroidに変換したいです。誰かが openCV ライブラリを使用している場合は、私を助けてください。

コードは、小さい画像が大きい画像で使用できるかどうかを確認するために使用され、使用可能な場合はその座標を見つけます。

注意: Android の場合、SURF は opencv 4.1.2 以降では使用できないため、ここでは opencv 4.1.1 を使用しています ( http://garr.dl.sourceforge.net/project/opencvlibrary/opencv-android/ 2.4.1/OpenCV-2.4.1-android-bin2.tar.bz2 )

コード：

-(void)featureDetection:(UIImage*)largerImage withImage:(UIImage*)subImage
{
cv::Mat tempMat1 = [largerImage CVMat];
cv::Mat tempMat2 = [subImage CVMat];

cv::cvtColor(tempMat1, tempMat1, CV_RGB2GRAY);
cv::cvtColor(tempMat2, tempMat2, CV_RGB2GRAY);

if( !tempMat1.data || !tempMat2.data ) {
    return;
}

//-- Step 1: Detect the keypoints using SURF Detector
int minHessian = 25;

cv::SurfFeatureDetector detector( minHessian ); // More Accurate bt take more time..
//cv::FastFeatureDetector detector( minHessian ); //Less Accurate bt take less time..

std::vector<cv::KeyPoint> keypoints_1, keypoints_2;

detector.detect( tempMat1, keypoints_1 );
detector.detect( tempMat2, keypoints_2 );

//-- Step 2: Calculate descriptors (feature vectors)
cv::SurfDescriptorExtractor extractor;

cv::Mat descriptors_1, descriptors_2;

extractor.compute( tempMat1, keypoints_1, descriptors_1 );
extractor.compute( tempMat2, keypoints_2, descriptors_2 );

std::vector<cv::Point2f> obj_corners(4);

//Get the corners from the object
obj_corners[0] = (cvPoint(0,0));
obj_corners[1] = (cvPoint(tempMat2.cols,0));
obj_corners[2] = (cvPoint(tempMat2.cols,tempMat2.rows));
obj_corners[3] = (cvPoint(0, tempMat2.rows));

//-- Step 3: Matching descriptor vectors with a brute force matcher
//cv::BruteForceMatcher < cv::L2<float> > matcher;
cv::FlannBasedMatcher matcher;
//std::vector< cv::DMatch > matches;
std::vector<cv::vector<cv::DMatch > > matches;

std::vector<cv::DMatch > good_matches;
std::vector<cv::Point2f> obj;
std::vector<cv::Point2f> scene;
std::vector<cv::Point2f> scene_corners(4);
cv::Mat H;

matcher.knnMatch( descriptors_2, descriptors_1, matches,2);

for(int i = 0; i < cv::min(tempMat1.rows-1,(int) matches.size()); i++)  {

    if((matches[i][0].distance < 0.6*(matches[i][1].distance)) && ((int) matches[i].size()<=2 && (int) matches[i].size()>0))  {
        good_matches.push_back(matches[i][0]);
    }
}
cv::Mat img_matches;
drawMatches( tempMat2, keypoints_2, tempMat1, keypoints_1, good_matches, img_matches );

NSLog(@"good matches %lu",good_matches.size());

if (good_matches.size() >= 4)  {

     for( int i = 0; i < good_matches.size(); i++ ) {
         //Get the keypoints from the good matches
         obj.push_back( keypoints_2[ good_matches[i].queryIdx ].pt );
         scene.push_back( keypoints_1[ good_matches[i].trainIdx ].pt );
     }

     H = findHomography( obj, scene, CV_RANSAC );

     perspectiveTransform( obj_corners, scene_corners, H);

     NSLog(@"%f %f",scene_corners[0].x,scene_corners[0].y);//This is the value which i Want to find out
     NSLog(@"%f %f",scene_corners[1].x,scene_corners[1].y);
     NSLog(@"%f %f",scene_corners[2].x,scene_corners[2].y);
     NSLog(@"%f %f",scene_corners[3].x,scene_corners[3].y);


     //Draw lines between the corners (the mapped object in the scene image )
     line( tempMat1, scene_corners[0], scene_corners[1], cvScalar(0, 255, 0), 4 );

     line( tempMat1, scene_corners[1], scene_corners[2], cvScalar( 0, 255, 0), 4 );

     line( tempMat1, scene_corners[2], scene_corners[3], cvScalar( 0, 255, 0), 4 );

     line( tempMat1, scene_corners[3], scene_corners[0], cvScalar( 0, 255, 0), 4 );
 }

 // View matching..

 UIImage *resultimage = [UIImage imageWithCVMat:img_matches];
 UIImageView *imageview = [[UIImageView alloc] initWithImage:resultimage];
 imageview.frame = CGRectMake(0, 0, 320, 240);
 [self.view addSubview:imageview];

 // View Result

 UIImage *resultimage2 = [UIImage imageWithCVMat:tempMat1];
 UIImageView *imageview2 = [[UIImageView alloc] initWithImage:resultimage2];
 imageview2.frame = CGRectMake(0, 240, 320, 240);
 [self.view addSubview:imageview2];
}
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1 に答える 1

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私は自分の質問に対する解決策を得ました。Object detection with OpenCV Feature Matching with a threshold/similarity score - Java/C++で与えられた質問から答えを見つけました

その投稿で述べたように、必要な変更を加えます。見てみな。

于 2014-01-10T04:25:07.663 に答える