Difference between revisions of "Example Fiducial Square Binary"

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Example Code:
Example Code:
* [https://github.com/lessthanoptimal/BoofCV/blob/v0.39/examples/src/main/java/boofcv/examples/fiducial/ExampleFiducialBinary.java ExampleFiducialBinary.java]
* [https://github.com/lessthanoptimal/BoofCV/blob/v0.40/examples/src/main/java/boofcv/examples/fiducial/ExampleFiducialBinary.java ExampleFiducialBinary.java]


Concepts:
Concepts:
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<syntaxhighlight lang="java">
<syntaxhighlight lang="java">
/**
**
  * Detects square binary fiducials inside an image, writes out there pose, and visualizes a virtual flat cube
  * Detects square binary fiducials inside an image, writes out there pose, and visualizes a virtual flat cube
  * above them in the input image.
  * above them in the input image.
Line 40: Line 40:
// load the lens distortion parameters and the input image
// load the lens distortion parameters and the input image
CameraPinholeBrown param = CalibrationIO.load(new File(directory, "intrinsic.yaml"));
CameraPinholeBrown param = CalibrationIO.load(new File(directory, "intrinsic.yaml"));
LensDistortionNarrowFOV lensDistortion = new LensDistortionBrown(param);
var lensDistortion = new LensDistortionBrown(param);


BufferedImage input = UtilImageIO.loadImage(directory, "image0000.jpg");
BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0000.jpg");
// BufferedImage input = UtilImageIO.loadImage(directory, "image0001.jpg");
// BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0001.jpg");
// BufferedImage input = UtilImageIO.loadImage(directory, "image0002.jpg");
// BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0002.jpg");
GrayF32 original = ConvertBufferedImage.convertFrom(input, true, ImageType.single(GrayF32.class));
GrayF32 original = ConvertBufferedImage.convertFrom(input, true, ImageType.single(GrayF32.class));


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// print the results
// print the results
Graphics2D g2 = input.createGraphics();
Graphics2D g2 = input.createGraphics();
Se3_F64 targetToSensor = new Se3_F64();
var targetToSensor = new Se3_F64();
Point2D_F64 locationPixel = new Point2D_F64();
var locationPixel = new Point2D_F64();
Polygon2D_F64 bounds = new Polygon2D_F64();
var bounds = new Polygon2D_F64();
for (int i = 0; i < detector.totalFound(); i++) {
for (int i = 0; i < detector.totalFound(); i++) {
detector.getCenter(i, locationPixel);
detector.getCenter(i, locationPixel);

Latest revision as of 14:42, 17 January 2022

Demonstration how to detect square binary fiducials. Square binary fiducials encode a pattern in the fiducial's center which can describe up to 4096 unique targets.

Example Code:

Concepts:

  • Fiducials
  • Pose estimation

Relevant Examples/Tutorials:

Videos

Example Code

**
 * Detects square binary fiducials inside an image, writes out there pose, and visualizes a virtual flat cube
 * above them in the input image.
 *
 * These markers can have issues with noise and you might want to consider using ExampleFiducialHamming instead.
 *
 * @author Peter Abeles
 */
public class ExampleFiducialBinary {
	public static void main( String[] args ) {
		String directory = UtilIO.pathExample("fiducial/binary");

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

		BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0000.jpg");
//		BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0001.jpg");
//		BufferedImage input = UtilImageIO.loadImageNotNull(directory, "image0002.jpg");
		GrayF32 original = ConvertBufferedImage.convertFrom(input, true, ImageType.single(GrayF32.class));

		// Detect the fiducial
		FiducialDetector<GrayF32> detector = FactoryFiducial.squareBinary(
				new ConfigFiducialBinary(0.1), ConfigThreshold.local(ThresholdType.LOCAL_MEAN, 21), GrayF32.class);
//				new ConfigFiducialBinary(0.1), ConfigThreshold.fixed(100),GrayF32.class);

		detector.setLensDistortion(lensDistortion, param.width, param.height);
		detector.detect(original);

		// print the results
		Graphics2D g2 = input.createGraphics();
		var targetToSensor = new Se3_F64();
		var locationPixel = new Point2D_F64();
		var 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);
			}
		}

		ShowImages.showWindow(input, "Fiducials", true);
	}
}