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Example 1 with StitchingFromMotion2D

use of boofcv.alg.sfm.d2.StitchingFromMotion2D in project BoofCV by lessthanoptimal.

the class ExampleVideoMosaic method main.

public static void main(String[] args) {
    // Configure the feature detector
    ConfigGeneralDetector confDetector = new ConfigGeneralDetector();
    confDetector.threshold = 1;
    confDetector.maxFeatures = 300;
    confDetector.radius = 3;
    // Use a KLT tracker
    PointTracker<GrayF32> tracker = FactoryPointTracker.klt(new int[] { 1, 2, 4, 8 }, confDetector, 3, GrayF32.class, GrayF32.class);
    // This estimates the 2D image motion
    // An Affine2D_F64 model also works quite well.
    ImageMotion2D<GrayF32, Homography2D_F64> motion2D = FactoryMotion2D.createMotion2D(220, 3, 2, 30, 0.6, 0.5, false, tracker, new Homography2D_F64());
    // wrap it so it output color images while estimating motion from gray
    ImageMotion2D<Planar<GrayF32>, Homography2D_F64> motion2DColor = new PlToGrayMotion2D<>(motion2D, GrayF32.class);
    // This fuses the images together
    StitchingFromMotion2D<Planar<GrayF32>, Homography2D_F64> stitch = FactoryMotion2D.createVideoStitch(0.5, motion2DColor, ImageType.pl(3, GrayF32.class));
    // Load an image sequence
    MediaManager media = DefaultMediaManager.INSTANCE;
    String fileName = UtilIO.pathExample("mosaic/airplane01.mjpeg");
    SimpleImageSequence<Planar<GrayF32>> video = media.openVideo(fileName, ImageType.pl(3, GrayF32.class));
    Planar<GrayF32> frame = video.next();
    // shrink the input image and center it
    Homography2D_F64 shrink = new Homography2D_F64(0.5, 0, frame.width / 4, 0, 0.5, frame.height / 4, 0, 0, 1);
    shrink = shrink.invert(null);
    // The mosaic will be larger in terms of pixels but the image will be scaled down.
    // To change this into stabilization just make it the same size as the input with no shrink.
    stitch.configure(frame.width, frame.height, shrink);
    // process the first frame
    stitch.process(frame);
    // Create the GUI for displaying the results + input image
    ImageGridPanel gui = new ImageGridPanel(1, 2);
    gui.setImage(0, 0, new BufferedImage(frame.width, frame.height, BufferedImage.TYPE_INT_RGB));
    gui.setImage(0, 1, new BufferedImage(frame.width, frame.height, BufferedImage.TYPE_INT_RGB));
    gui.setPreferredSize(new Dimension(3 * frame.width, frame.height * 2));
    ShowImages.showWindow(gui, "Example Mosaic", true);
    boolean enlarged = false;
    // process the video sequence one frame at a time
    while (video.hasNext()) {
        frame = video.next();
        if (!stitch.process(frame))
            throw new RuntimeException("You should handle failures");
        // if the current image is close to the image border recenter the mosaic
        StitchingFromMotion2D.Corners corners = stitch.getImageCorners(frame.width, frame.height, null);
        if (nearBorder(corners.p0, stitch) || nearBorder(corners.p1, stitch) || nearBorder(corners.p2, stitch) || nearBorder(corners.p3, stitch)) {
            stitch.setOriginToCurrent();
            // only enlarge the image once
            if (!enlarged) {
                enlarged = true;
                // double the image size and shift it over to keep it centered
                int widthOld = stitch.getStitchedImage().width;
                int heightOld = stitch.getStitchedImage().height;
                int widthNew = widthOld * 2;
                int heightNew = heightOld * 2;
                int tranX = (widthNew - widthOld) / 2;
                int tranY = (heightNew - heightOld) / 2;
                Homography2D_F64 newToOldStitch = new Homography2D_F64(1, 0, -tranX, 0, 1, -tranY, 0, 0, 1);
                stitch.resizeStitchImage(widthNew, heightNew, newToOldStitch);
                gui.setImage(0, 1, new BufferedImage(widthNew, heightNew, BufferedImage.TYPE_INT_RGB));
            }
            corners = stitch.getImageCorners(frame.width, frame.height, null);
        }
        // display the mosaic
        ConvertBufferedImage.convertTo(frame, gui.getImage(0, 0), true);
        ConvertBufferedImage.convertTo(stitch.getStitchedImage(), gui.getImage(0, 1), true);
        // draw a red quadrilateral around the current frame in the mosaic
        Graphics2D g2 = gui.getImage(0, 1).createGraphics();
        g2.setColor(Color.RED);
        g2.drawLine((int) corners.p0.x, (int) corners.p0.y, (int) corners.p1.x, (int) corners.p1.y);
        g2.drawLine((int) corners.p1.x, (int) corners.p1.y, (int) corners.p2.x, (int) corners.p2.y);
        g2.drawLine((int) corners.p2.x, (int) corners.p2.y, (int) corners.p3.x, (int) corners.p3.y);
        g2.drawLine((int) corners.p3.x, (int) corners.p3.y, (int) corners.p0.x, (int) corners.p0.y);
        gui.repaint();
        // throttle the speed just in case it's on a fast computer
        BoofMiscOps.pause(50);
    }
}
Also used : StitchingFromMotion2D(boofcv.alg.sfm.d2.StitchingFromMotion2D) PlToGrayMotion2D(boofcv.abst.sfm.d2.PlToGrayMotion2D) ConfigGeneralDetector(boofcv.abst.feature.detect.interest.ConfigGeneralDetector) Homography2D_F64(georegression.struct.homography.Homography2D_F64) BufferedImage(java.awt.image.BufferedImage) ConvertBufferedImage(boofcv.io.image.ConvertBufferedImage) GrayF32(boofcv.struct.image.GrayF32) MediaManager(boofcv.io.MediaManager) DefaultMediaManager(boofcv.io.wrapper.DefaultMediaManager) Planar(boofcv.struct.image.Planar) ImageGridPanel(boofcv.gui.image.ImageGridPanel)

Aggregations

ConfigGeneralDetector (boofcv.abst.feature.detect.interest.ConfigGeneralDetector)1 PlToGrayMotion2D (boofcv.abst.sfm.d2.PlToGrayMotion2D)1 StitchingFromMotion2D (boofcv.alg.sfm.d2.StitchingFromMotion2D)1 ImageGridPanel (boofcv.gui.image.ImageGridPanel)1 MediaManager (boofcv.io.MediaManager)1 ConvertBufferedImage (boofcv.io.image.ConvertBufferedImage)1 DefaultMediaManager (boofcv.io.wrapper.DefaultMediaManager)1 GrayF32 (boofcv.struct.image.GrayF32)1 Planar (boofcv.struct.image.Planar)1 Homography2D_F64 (georegression.struct.homography.Homography2D_F64)1 BufferedImage (java.awt.image.BufferedImage)1