Examples with AssociationPanel boofcv.gui.feature.AssociationPanel used on opensource projects

Example 6 with AssociationPanel

use of boofcv.gui.feature.AssociationPanel in project BoofCV by lessthanoptimal.

the class ExampleAssociatePoints method associate.

/**
 * Detect and associate point features in the two images. Display the results.
 */
public void associate(BufferedImage imageA, BufferedImage imageB) {
    T inputA = ConvertBufferedImage.convertFromSingle(imageA, null, imageType);
    T inputB = ConvertBufferedImage.convertFromSingle(imageB, null, imageType);
    // stores the location of detected interest points
    pointsA = new ArrayList<>();
    pointsB = new ArrayList<>();
    // stores the description of detected interest points
    DogArray<TD> descA = UtilFeature.createArray(detDesc, 100);
    DogArray<TD> descB = UtilFeature.createArray(detDesc, 100);
    // describe each image using interest points
    describeImage(inputA, pointsA, descA);
    describeImage(inputB, pointsB, descB);
    // Associate features between the two images
    associate.setSource(descA);
    associate.setDestination(descB);
    associate.associate();
    // display the results
    AssociationPanel panel = new AssociationPanel(20);
    panel.setAssociation(pointsA, pointsB, associate.getMatches());
    panel.setImages(imageA, imageB);
    ShowImages.showWindow(panel, "Associated Features", true);
}

Example 7 with AssociationPanel

use of boofcv.gui.feature.AssociationPanel in project BoofCV by lessthanoptimal.

the class ExampleComputeFundamentalMatrix method main.

public static void main(String[] args) {
    String dir = UtilIO.pathExample("structure/");
    BufferedImage imageA = UtilImageIO.loadImage(dir, "undist_cyto_01.jpg");
    BufferedImage imageB = UtilImageIO.loadImage(dir, "undist_cyto_02.jpg");
    List<AssociatedPair> matches = computeMatches(imageA, imageB);
    // Where the fundamental matrix is stored
    DMatrixRMaj F;
    // List of matches that matched the model
    List<AssociatedPair> inliers = new ArrayList<>();
    // estimate and print the results using a robust and simple estimator
    // The results should be difference since there are many false associations in the simple model
    // Also note that the fundamental matrix is only defined up to a scale factor.
    F = robustFundamental(matches, inliers, 0.5);
    System.out.println("Robust");
    // scale to make comparision easier
    CommonOps_DDRM.divide(F, NormOps_DDRM.normF(F));
    F.print();
    F = simpleFundamental(matches);
    System.out.println("Simple");
    CommonOps_DDRM.divide(F, NormOps_DDRM.normF(F));
    F.print();
    // display the inlier matches found using the robust estimator
    var panel = new AssociationPanel(20);
    panel.setAssociation(inliers);
    panel.setImages(imageA, imageB);
    ShowImages.showWindow(panel, "Inlier Pairs");
}

Example 8 with AssociationPanel

use of boofcv.gui.feature.AssociationPanel in project BoofCV by lessthanoptimal.

the class ExampleStereoTwoViewsOneCamera method drawInliers.

/**
 * Draw inliers for debugging purposes. Need to convert from normalized to pixel coordinates.
 */
public static void drawInliers(BufferedImage left, BufferedImage right, CameraPinholeBrown intrinsic, List<AssociatedPair> normalized) {
    Point2Transform2_F64 n_to_p = LensDistortionFactory.narrow(intrinsic).distort_F64(false, true);
    List<AssociatedPair> pixels = new ArrayList<>();
    for (AssociatedPair n : normalized) {
        AssociatedPair p = new AssociatedPair();
        n_to_p.compute(n.p1.x, n.p1.y, p.p1);
        n_to_p.compute(n.p2.x, n.p2.y, p.p2);
        pixels.add(p);
    }
    // display the results
    AssociationPanel panel = new AssociationPanel(20);
    panel.setAssociation(pixels);
    panel.setImages(left, right);
    ShowImages.showWindow(panel, "Inlier Features", true);
}