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/v0.28/examples/src/main/java/boofcv/examples/fiducial/ExampleFiducialBinary.java ExampleFiducialBinary.java] | ||
Concepts: | Concepts: | ||
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// Detect the fiducial | // Detect the fiducial | ||
FiducialDetector<GrayF32> detector = FactoryFiducial.squareBinary( | FiducialDetector<GrayF32> detector = FactoryFiducial.squareBinary( | ||
new ConfigFiducialBinary(0.1), ConfigThreshold.local(ThresholdType. | new ConfigFiducialBinary(0.1), ConfigThreshold.local(ThresholdType.LOCAL_MEAN, 21), GrayF32.class); | ||
// new ConfigFiducialBinary(0.1), ConfigThreshold.fixed(100),GrayF32.class); | // new ConfigFiducialBinary(0.1), ConfigThreshold.fixed(100),GrayF32.class); | ||
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} | } | ||
} | } | ||
</syntaxhighlight> | </syntaxhighlight> |
Revision as of 21:55, 19 January 2018
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_MEAN, 21), 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);
}
}