android,opencv,homography,image-stitching,opencv4android

Quick answer: I would say that you don't have enough overlap between your images. If you look at your matches (what you call "drawed features"), most of them are wrong. As a first test, try to stitch two images that have, say, 80% overlap. More details: Big picture: When you...

Here is an article about calculating pi to 1 million digit in C#, you can narrow it down to 36 digit here is a sample code, I suggest reading the full article and the logic behind it. public static HighPrecision GetPi(int digits) { HighPrecision.Precision = digits; HighPrecision first = 4...

c++,opencv,feature-detection,surf,homography

Change the drawing part to this: Mat img_matches; std::vector< DMatch > emptyVec; //Make a empty match vector so it won't be drawn. drawMatches( img_1, keypoints_1, img_2, keypoints_2, emptyVec, img_matches, Scalar::all(-1), Scalar::all(-1), vector<char>(), DrawMatchesFlags::NOT_DRAW_SINGLE_POINTS ); ...

c++,opengl,graphics,homography

glMultMatrix() expects a 4x4 matrix as argument. Also, as you already noticed, OpenGL stores matrices in column major order. To make this work, you'll have to extend you matrix to 4x4. You need a 4x4 matrix that transforms 3D points represented in homogenous coordinates, just like your original 3x3 matrix...

c++,opencv,transformation,homography,ransac

I've done it this way in the past: cv::Mat R = cv::estimateRigidTransform(p1,p2,false); if(R.cols == 0) { continue; } cv::Mat H = cv::Mat(3,3,R.type()); H.at<double>(0,0) = R.at<double>(0,0); H.at<double>(0,1) = R.at<double>(0,1); H.at<double>(0,2) = R.at<double>(0,2); H.at<double>(1,0) = R.at<double>(1,0); H.at<double>(1,1) = R.at<double>(1,1); H.at<double>(1,2) = R.at<double>(1,2); H.at<double>(2,0) = 0.0; H.at<double>(2,1) = 0.0; H.at<double>(2,2) =...

Assuming we have rotation (R) and translation (t) matrices, following code segment can be used to transform a set of coordinates (assume x,y,z coordinates are stored in data). data = R * data; data = [data(1,:) + t(1); data(2,:) + t(2); data(3,:) + t(3)]; Please provide us more details about...

java,opencv,homography,perspectivecamera

I can't really interpret your code, especially your points but I don't think it matters because as you said your objective is to create a homography matrix from 2 sets of points and perspectively transform an image with the resulting homography matrix. Iterating through the homography matrix First of all...

matlab,image-processing,computer-vision,homography

You can compute the homography transformation between the two bounding boxes using the fitgeotrans function. You can then apply the resulting transformation to the image using imwarp.

java,opencv,image-processing,feature-detection,homography

To detect a homography, you need to give the function at least 4 points that are "good". What is happening is that the image you are giving to the function does not have at least 4 good points to calculate the homography from, and that is why you are getting...