Difference between revisions of "Example Fiducial Square Binary"
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Example Code:  | Example Code:  | ||
* [https://github.com/lessthanoptimal/BoofCV/blob/v0.  | * [https://github.com/lessthanoptimal/BoofCV/blob/v0.25/examples/src/boofcv/examples/fiducial/ExampleFiducialBinary.java ExampleFiducialBinary.java]  | ||
Concepts:  | Concepts:  | ||
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* [[Example_Fiducial_Square_Image|Example Fiducial Square Image]]  | * [[Example_Fiducial_Square_Image|Example Fiducial Square Image]]  | ||
* [[Example_Calibration_Target_Pose|Example Fiducial Calibration Target]]  | * [[Example_Calibration_Target_Pose|Example Fiducial Calibration Target]]  | ||
Videos  | Videos  | ||
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		// load the lens distortion parameters and the input image  | 		// load the lens distortion parameters and the input image  | ||
		CameraPinholeRadial param = CalibrationIO.load(new File(directory , "intrinsic.yaml"));  | |||
		LensDistortionNarrowFOV lensDistortion = new LensDistortionRadialTangential(param);  | |||
		BufferedImage input = UtilImageIO.loadImage(directory , "image0000.jpg");  | 		BufferedImage input = UtilImageIO.loadImage(directory , "image0000.jpg");  | ||
//		BufferedImage input = UtilImageIO.loadImage(directory , "image0001.jpg");  | //		BufferedImage input = UtilImageIO.loadImage(directory , "image0001.jpg");  | ||
| Line 51: | Line 50: | ||
//				new ConfigFiducialBinary(0.1), ConfigThreshold.fixed(100),GrayF32.class);  | //				new ConfigFiducialBinary(0.1), ConfigThreshold.fixed(100),GrayF32.class);  | ||
		detector.  | 		detector.setLensDistortion(lensDistortion);  | ||
		detector.detect(original);  | 		detector.detect(original);  | ||
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		Graphics2D g2 = input.createGraphics();  | 		Graphics2D g2 = input.createGraphics();  | ||
		Se3_F64 targetToSensor = new Se3_F64();  | 		Se3_F64 targetToSensor = new Se3_F64();  | ||
		Point2D_F64 locationPixel = new Point2D_F64();  | |||
		for (int i = 0; i < detector.totalFound(); i++) {  | 		for (int i = 0; i < detector.totalFound(); i++) {  | ||
			System.out.println("Target ID = "+detector.getId(i));  | 			detector.getImageLocation(i, locationPixel);  | ||
			detector.  | |||
			if( detector.hasUniqueID() )  | |||
			System.out.println(  | 				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);  | |||
			VisualizeFiducial.drawCube(targetToSensor,param,detector.getWidth(i), 3, g2);  | 			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);  | |||
			}  | |||
		}  | 		}  | ||
Revision as of 15:23, 1 December 2016
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.
 *
 * @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
		CameraPinholeRadial param = CalibrationIO.load(new File(directory , "intrinsic.yaml"));
		LensDistortionNarrowFOV lensDistortion = new LensDistortionRadialTangential(param);
		BufferedImage input = UtilImageIO.loadImage(directory , "image0000.jpg");
//		BufferedImage input = UtilImageIO.loadImage(directory , "image0001.jpg");
//		BufferedImage input = UtilImageIO.loadImage(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_SQUARE, 10), GrayF32.class);
//				new ConfigFiducialBinary(0.1), ConfigThreshold.fixed(100),GrayF32.class);
		detector.setLensDistortion(lensDistortion);
		detector.detect(original);
		// print the results
		Graphics2D g2 = input.createGraphics();
		Se3_F64 targetToSensor = new Se3_F64();
		Point2D_F64 locationPixel = new Point2D_F64();
		for (int i = 0; i < detector.totalFound(); i++) {
			detector.getImageLocation(i, locationPixel);
			if( detector.hasUniqueID() )
				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);
	}
}