Example Fiducial Square Hamming

• 

  Rendered 3D flat squares on top of fiducials. ArUco MIP 25h7 markers.

Demonstration how to detect square fiducials which match targets based on hamming distance, e.g. ArUci and AprilTags.

Example Code:

• ExampleFiducialHamming.java

Concepts:

• Fiducials
• Pose estimation

Relevant Examples/Tutorials:

• Tutorial Fiducials
• Example Fiducial Square Image
• Example Fiducial Square Binary
• Example Fiducial Calibration Target

Videos

• Fiducial Overview

Example Code

/**
 * Hamming fiducials are an entire family of markers/tags which work by identifying unique ID's by minimizing
 * the hamming distance. This family includes ArUco, ArUco 3, AprilTag, and others. Several prebuilt dictionaries
 * are included with BoofCV and you can specify your own easily. Hamming tags have error correction capabilities
 * can are resiliant to noise. How resilient depends on the dictionary. In general the fewer unique IDs available
 * the better it is at error correction. The recommended dictionary is ARUCO_MIP_25h7.
 *
 * See:
 * Aruco https://www.uco.es/investiga/grupos/ava/node/26
 * AprilTag https://april.eecs.umich.edu/software/apriltag
 *
 * @author Peter Abeles
 */
public class ExampleFiducialHamming {
	public static void main( String[] args ) {
		String directory = UtilIO.pathExample("fiducial/square_hamming/aruco_25h7");

		// load the lens distortion parameters and the input image
		CameraPinholeBrown param = CalibrationIO.load(new File(directory, "intrinsic.yaml"));
		LensDistortionNarrowFOV lensDistortion = new LensDistortionBrown(param);

		// You need to create a different configuration for each dictionary type
		ConfigHammingMarker configMarker = ConfigHammingMarker.loadDictionary(HammingDictionary.ARUCO_MIP_25h7);
		FiducialDetector<GrayF32> detector = FactoryFiducial.squareHamming(configMarker, /*detector*/null, GrayF32.class);

		// Provide it lens parameters so that a 3D pose estimate is possible
		detector.setLensDistortion(lensDistortion, param.width, param.height);

		// Load and process all example images
		ListDisplayPanel gui = new ListDisplayPanel();
		for (int imageID = 1; imageID <= 3; imageID++) {
			String name = String.format("image%02d.jpg", imageID);
			System.out.println("processing: " + name);

			// Load the image
			BufferedImage buffered = UtilImageIO.loadImage(new File(directory, name).getPath());

			// Convert to a BoofCV format
			GrayF32 input = ConvertBufferedImage.convertFrom(buffered, (GrayF32)null);

			// Run the detector
			detector.detect(input);

			// Render a 3D compute on top of all detections
			Graphics2D g2 = buffered.createGraphics();
			Se3_F64 targetToSensor = new Se3_F64();
			Point2D_F64 locationPixel = new Point2D_F64();
			Polygon2D_F64 bounds = new Polygon2D_F64();
			for (int i = 0; i < detector.totalFound(); i++) {
				detector.getCenter(i, locationPixel);
				detector.getBounds(i, bounds);

				g2.setColor(new Color(50, 50, 255));
				g2.setStroke(new BasicStroke(10));
				VisualizeShapes.drawPolygon(bounds, true, 1.0, g2);

				if (detector.hasID())
					System.out.println("Target ID = " + detector.getId(i));
				if (detector.hasMessage())
					System.out.println("Message   = " + detector.getMessage(i));
				System.out.println("2D Image Location = " + locationPixel);

				if (detector.is3D()) {
					detector.getFiducialToCamera(i, targetToSensor);
					System.out.println("3D Location:");
					System.out.println(targetToSensor);
					VisualizeFiducial.drawCube(targetToSensor, param, detector.getWidth(i), 3, g2);
					VisualizeFiducial.drawLabelCenter(targetToSensor, param, "" + detector.getId(i), g2);
				} else {
					VisualizeFiducial.drawLabel(locationPixel, "" + detector.getId(i), g2);
				}
			}
			gui.addImage(buffered, name, ScaleOptions.ALL);
		}
		ShowImages.showWindow(gui, "Example Fiducial Hamming", true);
	}
}