Difference between revisions of "Example Calibration Target Pose"

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[[file:Example_calibration_pose.jpg|frame|center|Left: Last image in video sequence.  Right: Side view in 3D.  Green dots is the target's trajectory and black dots are calibration points in the last frame.]]
[[file:Example_calibration_pose.jpg|frame|center|Left: Last image in video sequence.  Right: Side view in 3D.  Green dots is the target's trajectory and black dots are calibration points in the last frame.]]


In addition to calibration, calibration targets can be used to estimate the pose of objects in the scene to a high degree of accuracy.  The location of calibration points can be estimated to a high degree of accuracy in the image making this approach more accurate than more generate purpose fidicuals.  How accurate is a function of distance and orientation.  
In addition to calibration, calibration targets can be used to estimate the pose of objects in the scene to a high degree of accuracy.  The location of calibration points can be estimated to a high degree of accuracy in the image making this approach more accurate than more generate purpose fiducials.  How accurate is a function of distance and orientation.
 


Example Code:
Example Code:
* [https://github.com/lessthanoptimal/BoofCV/blob/v0.19/examples/src/boofcv/examples/fiducial/ExamplePoseOfCalibrationTarget.java ExamplePoseOfCalibrationTarget.java]
* [https://github.com/lessthanoptimal/BoofCV/blob/v0.40/examples/src/main/java/boofcv/examples/fiducial/ExamplePoseOfCalibrationTarget.java ExamplePoseOfCalibrationTarget.java]


Concepts:
Concepts:
Line 13: Line 12:
Related Examples:
Related Examples:
* [[Example_Detect_Calibration_Target| Detecting Calibration Target]]
* [[Example_Detect_Calibration_Target| Detecting Calibration Target]]
Videos
* [https://youtu.be/qJWDK_FrgHE Fiducial Overview]


= Example Code =
= Example Code =
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  */
  */
public class ExamplePoseOfCalibrationTarget {
public class ExamplePoseOfCalibrationTarget {
 
public static void main( String[] args ) {
public static void main( String args[] ) {
 
// Load camera calibration
// Load camera calibration
IntrinsicParameters intrinsic =
CameraPinholeBrown intrinsic =
UtilIO.loadXML("../data/applet/calibration/mono/Sony_DSC-HX5V_Chess/intrinsic.xml");
CalibrationIO.load(UtilIO.pathExample("calibration/mono/Sony_DSC-HX5V_Chess/intrinsic.yaml"));
LensDistortionNarrowFOV lensDistortion = new LensDistortionBrown(intrinsic);


// load the video file
// load the video file
String fileName = "../data/applet/tracking/chessboard_SonyDSC_01.mjpeg";
String fileName = UtilIO.pathExample("tracking/chessboard_SonyDSC_01.mjpeg");
SimpleImageSequence<ImageFloat32> video =
SimpleImageSequence<GrayF32> video =
DefaultMediaManager.INSTANCE.openVideo(fileName, ImageType.single(ImageFloat32.class));
DefaultMediaManager.INSTANCE.openVideo(fileName, ImageType.single(GrayF32.class));
// DefaultMediaManager.INSTANCE.openCamera(null, 640, 480, ImageType.single(GrayF32.class));


// Let's use the FiducialDetector interface since it is much easier than coding up
// Let's use the FiducialDetector interface since it is much easier than coding up
// the entire thing ourselves. Look at FiducialDetector's code if you want to understand how it works.
// the entire thing ourselves. Look at FiducialDetector's code if you want to understand how it works.
CalibrationFiducialDetector<ImageFloat32> detector =
CalibrationFiducialDetector<GrayF32> detector =
FactoryFiducial.calibChessboard(new ConfigChessboard(5, 4, 0.03),ImageFloat32.class);
FactoryFiducial.calibChessboardX(null, new ConfigGridDimen(4, 5, 0.03), GrayF32.class);


detector.setIntrinsic(intrinsic);
detector.setLensDistortion(lensDistortion, intrinsic.width, intrinsic.height);


// Get the 2D coordinate of calibration points for visualization purposes
// Get the 2D coordinate of calibration points for visualization purposes
Line 52: Line 54:


// Set up visualization
// Set up visualization
JPanel gui = new JPanel();
PointCloudViewer viewer = VisualizeData.createPointCloudViewer();
PointCloudViewer viewer = new PointCloudViewer(intrinsic, 0.01);
viewer.setCameraHFov(PerspectiveOps.computeHFov(intrinsic));
// make the view more interest. From the side.
viewer.setTranslationStep(0.01);
DenseMatrix64F rotY = RotationMatrixGenerator.rotY(-Math.PI/2.0,null);
viewer.setBackgroundColor(0xFFFFFF); // white background
viewer.setWorldToCamera(new Se3_F64(rotY,new Vector3D_F64(0.75,0,1.25)));
// make the view more interest. From the side.
ImagePanel imagePanel = new ImagePanel(intrinsic.width, intrinsic.height);
DMatrixRMaj rotY = ConvertRotation3D_F64.rotY(-Math.PI/2.0, null);
gui.add(BorderLayout.WEST, imagePanel); gui.add(BorderLayout.CENTER, viewer);
viewer.setCameraToWorld(new Se3_F64(rotY, new Vector3D_F64(0.75, 0, 1.25)).invert(null));
ShowImages.showWindow(gui,"Calibration Target Pose",true);
var imagePanel = new ImagePanel(intrinsic.width, intrinsic.height);
var viewerComponent = viewer.getComponent();
viewerComponent.setPreferredSize(new Dimension(intrinsic.width, intrinsic.height));
var gui = new PanelGridPanel(1, imagePanel, viewerComponent);
gui.setMaximumSize(gui.getPreferredSize());
ShowImages.showWindow(gui, "Calibration Target Pose", true);


// Allows the user to click on the image and pause
// Allows the user to click on the image and pause
MousePauseHelper pauseHelper = new MousePauseHelper(gui);
var pauseHelper = new MousePauseHelper(gui);


// saves the target's center location
// saves the target's center location
List<Point3D_F64> path = new ArrayList<Point3D_F64>();
var path = new ArrayList<Point3D_F64>();


// Process each frame in the video sequence
// Process each frame in the video sequence
Se3_F64 targetToCamera = new Se3_F64();
var targetToCamera = new Se3_F64();
while( video.hasNext() ) {
while (video.hasNext()) {
 
// detect calibration points
// detect calibration points
detector.detect(video.next());
detector.detect(video.next());


if( detector.totalFound() == 0 )
if (detector.totalFound() == 1) {
continue;
detector.getFiducialToCamera(0, targetToCamera);


detector.getFiducialToCamera(0, targetToCamera);
// Visualization. Show a path with green points and the calibration points in black
viewer.clearPoints();


// Visualization. Show a path with green points and the calibration points in black
Point3D_F64 center = new Point3D_F64();
viewer.reset();
SePointOps_F64.transform(targetToCamera, center, center);
path.add(center);


Point3D_F64 center = new Point3D_F64();
for (Point3D_F64 p : path) {
SePointOps_F64.transform(targetToCamera,center,center);
viewer.addPoint(p.x, p.y, p.z, 0x00FF00);
path.add(center);
}
 
for( Point3D_F64 p : path ) {
viewer.addPoint(p.x,p.y,p.z,0x00FF00);
}


for( int j = 0; j < calibPts.size(); j++ ) {
for (int j = 0; j < calibPts.size(); j++) {
Point2D_F64 p = calibPts.get(j);
Point2D_F64 p = calibPts.get(j);
Point3D_F64 p3 = new Point3D_F64(p.x,p.y,0);
Point3D_F64 p3 = new Point3D_F64(p.x, p.y, 0);
SePointOps_F64.transform(targetToCamera,p3,p3);
SePointOps_F64.transform(targetToCamera, p3, p3);
viewer.addPoint(p3.x,p3.y,p3.z,0);
viewer.addPoint(p3.x, p3.y, p3.z, 0);
}
}
}


imagePanel.setBufferedImage((BufferedImage) video.getGuiImage());
imagePanel.setImage((BufferedImage)video.getGuiImage());
viewer.repaint();
viewerComponent.repaint();
imagePanel.repaint();
imagePanel.repaint();


BoofMiscOps.pause(30);
BoofMiscOps.pause(30);
while( pauseHelper.isPaused() ) {
while (pauseHelper.isPaused()) {
BoofMiscOps.pause(30);
BoofMiscOps.pause(30);
}
}

Latest revision as of 14:45, 17 January 2022

Left: Last image in video sequence. Right: Side view in 3D. Green dots is the target's trajectory and black dots are calibration points in the last frame.

In addition to calibration, calibration targets can be used to estimate the pose of objects in the scene to a high degree of accuracy. The location of calibration points can be estimated to a high degree of accuracy in the image making this approach more accurate than more generate purpose fiducials. How accurate is a function of distance and orientation.

Example Code:

Concepts:

  • Calibration target
  • Pose estimation

Related Examples:

Videos

Example Code

/**
 * The 6-DOF pose of calibration targets can be estimated very accurately[*] once a camera has been calibrated.
 * In this example the high level FiducialDetector interface is used with a chessboard calibration target to
 * process a video sequence. Once the pose of the target is known the location of each calibration point is
 * found in the camera frame and visualized.
 *
 * [*] Accuracy is dependent on a variety of factors. Calibration targets are primarily designed to be viewed up close
 * and their accuracy drops with range, as can be seen in this example.
 *
 * @author Peter Abeles
 */
public class ExamplePoseOfCalibrationTarget {
	public static void main( String[] args ) {
		// Load camera calibration
		CameraPinholeBrown intrinsic =
				CalibrationIO.load(UtilIO.pathExample("calibration/mono/Sony_DSC-HX5V_Chess/intrinsic.yaml"));
		LensDistortionNarrowFOV lensDistortion = new LensDistortionBrown(intrinsic);

		// load the video file
		String fileName = UtilIO.pathExample("tracking/chessboard_SonyDSC_01.mjpeg");
		SimpleImageSequence<GrayF32> video =
				DefaultMediaManager.INSTANCE.openVideo(fileName, ImageType.single(GrayF32.class));
//				DefaultMediaManager.INSTANCE.openCamera(null, 640, 480, ImageType.single(GrayF32.class));

		// Let's use the FiducialDetector interface since it is much easier than coding up
		// the entire thing ourselves. Look at FiducialDetector's code if you want to understand how it works.
		CalibrationFiducialDetector<GrayF32> detector =
				FactoryFiducial.calibChessboardX(null, new ConfigGridDimen(4, 5, 0.03), GrayF32.class);

		detector.setLensDistortion(lensDistortion, intrinsic.width, intrinsic.height);

		// Get the 2D coordinate of calibration points for visualization purposes
		List<Point2D_F64> calibPts = detector.getCalibrationPoints();

		// Set up visualization
		PointCloudViewer viewer = VisualizeData.createPointCloudViewer();
		viewer.setCameraHFov(PerspectiveOps.computeHFov(intrinsic));
		viewer.setTranslationStep(0.01);
		viewer.setBackgroundColor(0xFFFFFF); // white background
		// make the view more interest. From the side.
		DMatrixRMaj rotY = ConvertRotation3D_F64.rotY(-Math.PI/2.0, null);
		viewer.setCameraToWorld(new Se3_F64(rotY, new Vector3D_F64(0.75, 0, 1.25)).invert(null));
		var imagePanel = new ImagePanel(intrinsic.width, intrinsic.height);
		var viewerComponent = viewer.getComponent();
		viewerComponent.setPreferredSize(new Dimension(intrinsic.width, intrinsic.height));
		var gui = new PanelGridPanel(1, imagePanel, viewerComponent);
		gui.setMaximumSize(gui.getPreferredSize());
		ShowImages.showWindow(gui, "Calibration Target Pose", true);

		// Allows the user to click on the image and pause
		var pauseHelper = new MousePauseHelper(gui);

		// saves the target's center location
		var path = new ArrayList<Point3D_F64>();

		// Process each frame in the video sequence
		var targetToCamera = new Se3_F64();
		while (video.hasNext()) {
			// detect calibration points
			detector.detect(video.next());

			if (detector.totalFound() == 1) {
				detector.getFiducialToCamera(0, targetToCamera);

				// Visualization. Show a path with green points and the calibration points in black
				viewer.clearPoints();

				Point3D_F64 center = new Point3D_F64();
				SePointOps_F64.transform(targetToCamera, center, center);
				path.add(center);

				for (Point3D_F64 p : path) {
					viewer.addPoint(p.x, p.y, p.z, 0x00FF00);
				}

				for (int j = 0; j < calibPts.size(); j++) {
					Point2D_F64 p = calibPts.get(j);
					Point3D_F64 p3 = new Point3D_F64(p.x, p.y, 0);
					SePointOps_F64.transform(targetToCamera, p3, p3);
					viewer.addPoint(p3.x, p3.y, p3.z, 0);
				}
			}

			imagePanel.setImage((BufferedImage)video.getGuiImage());
			viewerComponent.repaint();
			imagePanel.repaint();

			BoofMiscOps.pause(30);
			while (pauseHelper.isPaused()) {
				BoofMiscOps.pause(30);
			}
		}
	}
}