use of boofcv.alg.distort.NarrowToWidePtoP_F32 in project BoofCV by lessthanoptimal.
the class ExampleFisheyeToPinhole method main.
public static void main(String[] args) {
// Path to image data and calibration data
String fisheyePath = UtilIO.pathExample("fisheye/theta/");
// load the fisheye camera parameters
CameraUniversalOmni fisheyeModel = CalibrationIO.load(new File(fisheyePath, "front.yaml"));
// Specify what the pinhole camera should look like
CameraPinhole pinholeModel = new CameraPinhole(400, 400, 0, 300, 300, 600, 600);
// Create the transform from pinhole to fisheye views
LensDistortionNarrowFOV pinholeDistort = new LensDistortionPinhole(pinholeModel);
LensDistortionWideFOV fisheyeDistort = new LensDistortionUniversalOmni(fisheyeModel);
NarrowToWidePtoP_F32 transform = new NarrowToWidePtoP_F32(pinholeDistort, fisheyeDistort);
// Load fisheye RGB image
BufferedImage bufferedFisheye = UtilImageIO.loadImage(fisheyePath, "front_table.jpg");
Planar<GrayU8> fisheyeImage = ConvertBufferedImage.convertFrom(bufferedFisheye, true, ImageType.pl(3, GrayU8.class));
// Create the image distorter which will render the image
InterpolatePixel<Planar<GrayU8>> interp = FactoryInterpolation.createPixel(0, 255, InterpolationType.BILINEAR, BorderType.ZERO, fisheyeImage.getImageType());
ImageDistort<Planar<GrayU8>, Planar<GrayU8>> distorter = FactoryDistort.distort(false, interp, fisheyeImage.getImageType());
// Pass in the transform created above
distorter.setModel(new PointToPixelTransform_F32(transform));
// Render the image. The camera will have a rotation of 0 and will thus be looking straight forward
Planar<GrayU8> pinholeImage = fisheyeImage.createNew(pinholeModel.width, pinholeModel.height);
distorter.apply(fisheyeImage, pinholeImage);
BufferedImage bufferedPinhole0 = ConvertBufferedImage.convertTo(pinholeImage, null, true);
// rotate the virtual pinhole camera to the right
transform.setRotationWideToNarrow(ConvertRotation3D_F32.eulerToMatrix(EulerType.YXZ, 0.8f, 0, 0, null));
distorter.apply(fisheyeImage, pinholeImage);
BufferedImage bufferedPinhole1 = ConvertBufferedImage.convertTo(pinholeImage, null, true);
// Display the results
ListDisplayPanel panel = new ListDisplayPanel();
panel.addImage(bufferedPinhole0, "Pinehole Forward");
panel.addImage(bufferedPinhole1, "Pinehole Right");
panel.addImage(bufferedFisheye, "Fisheye");
panel.setPreferredSize(new Dimension(600, 450));
ShowImages.showWindow(panel, "Fisheye to Pinhole", true);
}
use of boofcv.alg.distort.NarrowToWidePtoP_F32 in project BoofCV by lessthanoptimal.
the class DisplayFisheyeCalibrationPanel method setCalibration.
public void setCalibration(LensDistortionWideFOV fisheyeDistort, int width, int height) {
BoofSwingUtil.checkGuiThread();
this.fisheyeDistort = fisheyeDistort;
LensDistortionNarrowFOV pinholeDistort = new LensDistortionPinhole(pinholeModel);
distorter = new NarrowToWidePtoP_F32(pinholeDistort, fisheyeDistort);
// Create the image distorter which will render the image
InterpolatePixel<Planar<GrayF32>> interp = FactoryInterpolation.createPixel(0, 255, InterpolationType.BILINEAR, BorderType.ZERO, imageFisheye.getImageType());
distortImage = FactoryDistort.distort(false, interp, imageFisheye.getImageType());
// Pass in the transform created above
distortImage.setModel(new PointToPixelTransform_F32(distorter));
setPinholeCenter(width / 2, height / 2);
renderPinhole();
}
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