Difference between revisions of "Example Detect Calibration Target"

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/**
/**
  * Example that demonstrates how to detect targets used for camera calibrationThe point features which
  * Example that demonstrates how to detect calibration targets.  Calibration points are found on the
  * are detected inside the targets are found to a high level of precision.  It is assumed that a single  
  * targets to a high level of precision.  It is assumed that a single image only shows a single target  
* image only shows a single target and that the entire target is visible.  If these conditions are not  
* and that the entire target is visible.  If these conditions are not meet then the target is likely
* meet the detector is likely to fail.
* to not be detected.
  *
  *
  * @author Peter Abeles
  * @author Peter Abeles

Revision as of 12:46, 22 July 2012

Detecting Calibration Targets

BoofCV provides fully automated calibration target detection. Once detected calibration point locations are returned with a high level of precision. While intended for camera calibration, they can also be used for other applications, such as augmented reality. In this example it is demonstrated how to detect different types of grid based targets.

Example File: ExampleDetectCalibrationPoints.java

Concepts:

  • Calibration targets

Relevant Applets:

Related Examples/Tutorials:

Example Code

/**
 * Example that demonstrates how to detect calibration targets.  Calibration points are found on the 
 * targets to a high level of precision.  It is assumed that a single image only shows a single target 
 * and that the entire target is visible.  If these conditions are not meet then the target is likely
 * to not be detected.
 *
 * @author Peter Abeles
 */
public class ExampleDetectCalibrationPoints {

	public static void main( String args[] ) {

		// load the test image
//		String directory = "../data/evaluation/calibration/stereo/Bumblebee2_Square";
		String directory = "../data/evaluation/calibration/stereo/Bumblebee2_Chess";

		BufferedImage orig = UtilImageIO.loadImage(directory+"/left01.jpg");
		ImageFloat32 input = ConvertBufferedImage.convertFrom(orig,(ImageFloat32)null);

		// To select different types of detectors add or remove comments below
		PlanarCalibrationDetector detector;

		// For chessboard targets, tune RADIUS parameter for your images
//		detector = FactoryPlanarCalibrationTarget.detectorSquareGrid( 3, 4);
		detector = FactoryPlanarCalibrationTarget.detectorChessboard( 3, 4, 6);

		// process the image and check for failure condition
		if( !detector.process(input) )
			throw new RuntimeException("Target detection failed!");

		// Ordered observations of calibration points on the target
		List<Point2D_F64> points = detector.getPoints();

		// render and display the results
		Graphics2D g2 = orig.createGraphics();
		for( Point2D_F64 p : points )
			VisualizeFeatures.drawPoint(g2,(int)p.x,(int)p.y,3,Color.RED);

		ShowImages.showWindow(orig,"Calibration Points");
	}
}