Difference between revisions of "Example Calibration Target Pose"
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Example Code: | Example Code: | ||
* [https://github.com/lessthanoptimal/BoofCV/blob/v0. | * [https://github.com/lessthanoptimal/BoofCV/blob/v0.40/examples/src/main/java/boofcv/examples/fiducial/ExamplePoseOfCalibrationTarget.java ExamplePoseOfCalibrationTarget.java] | ||
Concepts: | Concepts: | ||
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DMatrixRMaj rotY = ConvertRotation3D_F64.rotY(-Math.PI/2.0, null); | 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)); | 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)); | viewerComponent.setPreferredSize(new Dimension(intrinsic.width, intrinsic.height)); | ||
var gui = new PanelGridPanel(1, imagePanel, viewerComponent); | |||
gui.setMaximumSize(gui.getPreferredSize()); | gui.setMaximumSize(gui.getPreferredSize()); | ||
ShowImages.showWindow(gui, "Calibration Target Pose", true); | 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 | ||
var pauseHelper = new MousePauseHelper(gui); | |||
// saves the target's center location | // saves the target's center location | ||
var path = new ArrayList<Point3D_F64>(); | |||
// Process each frame in the video sequence | // Process each frame in the video sequence | ||
var targetToCamera = new Se3_F64(); | |||
while (video.hasNext()) { | while (video.hasNext()) { | ||
// detect calibration points | // detect calibration points |
Latest revision as of 14:45, 17 January 2022
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);
}
}
}
}