SampleApp.MainForm.btnRansac_Click C# (CSharp) Method

        private void btnRansac_Click(object sender, EventArgs e)
        {
            if (correlationPoints1 == null)
            {
                MessageBox.Show("Please, click Nearest Neighbor button first! :-)");
                return;
            }

            if (correlationPoints1.Length < 4 || correlationPoints2.Length < 4)
            {
                MessageBox.Show("Insufficient points to attempt a fit.");
                return;
            }

            // Step 3: Create the homography matrix using a robust estimator
            RansacHomographyEstimator ransac = new RansacHomographyEstimator(0.001, 0.99);
            homography = ransac.Estimate(correlationPoints1, correlationPoints2);

            // Plot RANSAC results against correlation results
            IntPoint[] inliers1 = correlationPoints1.Submatrix(ransac.Inliers);
            IntPoint[] inliers2 = correlationPoints2.Submatrix(ransac.Inliers);

            // Concatenate the two images in a single image (just to show on screen)
            Concatenate concat = new Concatenate(img1);
            Bitmap img3 = concat.Apply(img2);

            // Show the marked correlations in the concatenated image
            PairsMarker pairs = new PairsMarker(
                inliers1, // Add image1's width to the X points to show the markings correctly
                inliers2.Apply(p => new IntPoint(p.X + img1.Width, p.Y)));

            pictureBox.Image = pairs.Apply(img3);
        }