Accord.Tests.Imaging.BlendTest.Panorama_Example1 C# (CSharp) Method

Panorama_Example1() private method

private Panorama_Example1 ( ) : void
return void
        public void Panorama_Example1()
        {
            Accord.Math.Random.Generator.Seed = 0;

            // Let's start with two pictures that have been
            // taken from slightly different points of view:
            //
            Bitmap img1 = Accord.Imaging.Image.Clone(Resources.dc_left);
            Bitmap img2 = Accord.Imaging.Image.Clone(Resources.dc_right);

            // Those pictures are shown below:
            // ImageBox.Show(img1, PictureBoxSizeMode.Zoom, 640, 480);
            // ImageBox.Show(img2, PictureBoxSizeMode.Zoom, 640, 480);


            // Step 1: Detect feature points using Surf Corners Detector
            var surf = new SpeededUpRobustFeaturesDetector();

            var points1 = surf.ProcessImage(img1);
            var points2 = surf.ProcessImage(img2);

            // Step 2: Match feature points using a k-NN
            var matcher = new KNearestNeighborMatching(5);
            var matches = matcher.Match(points1, points2);

            // Step 3: Create the matrix using a robust estimator
            var ransac = new RansacHomographyEstimator(0.001, 0.99);
            MatrixH homographyMatrix = ransac.Estimate(matches);

            Assert.AreEqual(1.15707409, homographyMatrix.Elements[0], 1e-5);
            Assert.AreEqual(-0.0233834628, homographyMatrix.Elements[1], 1e-5);
            Assert.AreEqual(-261.8217, homographyMatrix.Elements[2], 1e-2);
            Assert.AreEqual(0.08801343, homographyMatrix.Elements[3], 1e-5);
            Assert.AreEqual(1.12451434, homographyMatrix.Elements[4], 1e-5);
            Assert.AreEqual(-171.191208, homographyMatrix.Elements[5], 1e-2);
            Assert.AreEqual(0.000127789128, homographyMatrix.Elements[6], 1e-5);
            Assert.AreEqual(0.00006173445, homographyMatrix.Elements[7], 1e-5);
            Assert.AreEqual(8, homographyMatrix.Elements.Length);


            // Step 4: Project and blend using the homography
            Blend blend = new Blend(homographyMatrix, img1);


            // Compute the blending algorithm
            Bitmap result = blend.Apply(img2);

            // Show on screen
            // ImageBox.Show(result, PictureBoxSizeMode.Zoom, 640, 480);


            result = Accord.Imaging.Image.Clone(result);

#if NET35
            // result.Save(@"C:\Projects\Accord.NET\framework\Unit Tests\Accord.Tests.Imaging\Resources\blend_net35.png", ImageFormat.Png);
            Bitmap image = Accord.Imaging.Image.Clone(Properties.Resources.blend_net35);
#else
            // result.Save(@"C:\Projects\Accord.NET\framework\Unit Tests\Accord.Tests.Imaging\Resources\blend_net45.png", ImageFormat.Png);
            Bitmap image = Accord.Imaging.Image.Clone(Properties.Resources.blend_net45);
#endif

#pragma warning disable 618
            double[,] expected = image.ToDoubleMatrix(channel: 0);
            double[,] actual = result.ToDoubleMatrix(channel: 0);
            Assert.IsTrue(Matrix.IsEqual(expected, actual, atol: 0.1));
#pragma warning restore 618
        }