Example usage for org.opencv.core Point Point

Introduction

In this page you can find the example usage for org.opencv.core Point Point.

Prototype

public Point(double x, double y) 

Source Link

Usage

From source file:de.hu_berlin.informatik.spws2014.ImagePositionLocator.TriangleImagePositionLocator.java

License:Open Source License

/**
 * Builds ProjectionTriangles from triangulated markers.
 * Requires OpenCV!/*from ww w. j  ava2 s .c om*/
 */
public void newMarkerAdded(List<Marker> markers) {
    if (markers.size() < 2)
        return;

    if (markers.size() == 2) {
        //Guess third marker
        projs = new ArrayList<ProjectionTriangle>();
        projs.add(new ProjectionTriangle(markers.get(0), markers.get(1)));
    } else {
        Subdiv2D subdiv = new Subdiv2D();
        subdiv.initDelaunay(new Rect(0, 0, imageSize.x, imageSize.y));

        for (Marker m : markers)
            System.out.println("-> " + m.realpoint.longitude + " / " + m.realpoint.latitude);
        for (Marker m : markers)
            subdiv.insert(new Point(m.imgpoint.x, m.imgpoint.y));

        MatOfFloat6 mafloat = new MatOfFloat6();
        subdiv.getTriangleList(mafloat);
        float[] tmparray = mafloat.toArray();

        ArrayList<ProjectionTriangle> tmplist = new ArrayList<ProjectionTriangle>();
        for (int i = 0; i < tmparray.length; i += 6) {
            Marker m1 = findMarkerByPoint(markers, tmparray[i], tmparray[i + 1]);
            Marker m2 = findMarkerByPoint(markers, tmparray[i + 2], tmparray[i + 3]);
            Marker m3 = findMarkerByPoint(markers, tmparray[i + 4], tmparray[i + 5]);

            if (m1 != null && m2 != null && m3 != null)
                tmplist.add(new ProjectionTriangle(m1, m2, m3, settings.getMaxDissimilarityPercent(),
                        settings.getBadTriWeightPenalty(), settings.getMinTriAngleSize()));
        }

        for (ProjectionTriangle mainPt : tmplist) {
            for (ProjectionTriangle subPt : tmplist) {
                if (mainPt != subPt)
                    mainPt.tryAddToProjGroup(subPt);
            }
        }

        projs = tmplist;
    }
}

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From source file:de.hu_berlin.informatik.spws2014.mapever.entzerrung.CornerDetector.java

License:Open Source License

/**
 * Finds the intersection point of 2 given lines. Uses a very ugly formula stolen from Wikipedia, feel free to
 * improve the code below ;-)/*from   w ww . j  av  a  2  s. co  m*/
 * Doesnt do proper error handling and returns {-1,-1} with parallel lines.
 * Yes, I know its aweful, i was tired and not necessarily extremly motivated ;-)
 * 
 * @param l0 The first line, that is two points on it, saved like this: {x0,y0,x1,y1}
 * @param l1 The second line, that is two points on it, saved like this: {x0,y0,x1,y1}
 * @return The intersection point between those lines as an OpenCV Point
 **/
private static Point find_intercept_point(double[] l0, double[] l1) {
    double denominator = (l0[0] - l0[2]) * (l1[1] - l1[3]) - (l0[1] - l0[3]) * (l1[0] - l1[2]);
    if (denominator == 0)
        return new Point(-1, -1);

    double l0_factor = l0[0] * l0[3] - l0[1] * l0[2];
    double l1_factor = l1[0] * l1[3] - l1[1] * l1[2];
    double x = (l0_factor * (l1[0] - l1[2]) - l1_factor * (l0[0] - l0[2])) / denominator;
    double y = (l0_factor * (l1[1] - l1[3]) - l1_factor * (l0[1] - l0[3])) / denominator; // ugly as hell ;_;

    return new Point(x, y);
}

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From source file:de.vion.eyetracking.cameracalib.calibration.opencv.CameraCalibrator.java

private void renderFrame(Mat rgbaFrame) {
    drawPoints(rgbaFrame);/*from  ww  w.j av a 2 s .  c  o m*/

    Core.putText(rgbaFrame, "Captured: " + this.mCornersBuffer.size(),
            new Point(rgbaFrame.cols() / 3 * 2, rgbaFrame.rows() * 0.1), Core.FONT_HERSHEY_SIMPLEX, 1.0,
            new Scalar(255, 255, 0));
}

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From source file:digimesh.xbee.gui.SensorMap.java

private void drawSensor(SmartSensor sensor) {
    Point sensorLocation = new Point(sensor.getPositionXY().positionX - 50,
            sensor.getPositionXY().positionY + 30);

    int measNr = sensor.getMeasurmentToDraw();
    String id = sensor.getId();/* w ww.jav  a2s  .c om*/
    String sTextName = "Sensor ID : " + id.substring(id.length() - 4, id.length());
    int fontFace = Core.FONT_HERSHEY_PLAIN;
    double fontScale = 0.7;
    Imgproc.putText(map, sTextName, sensorLocation, fontFace, fontScale, Scalar.all(255));
    Scalar circleColor = new Scalar(255, 255, 255);
    if (sensor.hasMeasurements) {
        double value = sensor.m_measurments.get(measNr).value;
        String measName = sensor.m_measurments.get(measNr).name;
        String unit = sensor.m_measurments.get(measNr).unit;

        String sTextMeas = measName + " = " + value + "[" + unit + "]";
        Imgproc.putText(map, sTextMeas,
                new Point(sensor.getPositionXY().positionX - 50, (sensor.getPositionXY().positionY + 50)),
                fontFace, fontScale, Scalar.all(255));
        double upperLimit = sensor.m_measurments.get(measNr).upperLimit;
        double lowerLimit = sensor.m_measurments.get(measNr).lowerLimit;
        //check value

        if (value > upperLimit) {
            circleColor = new Scalar(0, 0, 255);
        } else if (value < lowerLimit) {
            circleColor = new Scalar(255, 0, 0);
        } else {
            circleColor = new Scalar(0, 255, 0);
        }
    } else {
        Imgproc.putText(map, HUB_LABEL,
                new Point(sensor.getPositionXY().positionX - 50, (sensor.getPositionXY().positionY + 12)),
                fontFace, fontScale, Scalar.all(255));
    }

    Imgproc.circle(map, sensorLocation, 10, circleColor, 2, fontFace, 0);

}

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From source file:digitalassistant.Panel.java

public void face_detect(Mat image) {
    //System.out.println("\nRunning DetectFaceDemo");

    // Create a face detector from the cascade file in the resources
    // directory.
    String test1 = getClass().getResource("lbpcascade_frontalface.xml").getPath();
    test1 = test1.replace("/C:", "C:");
    CascadeClassifier faceDetector = new CascadeClassifier(test1);
    /* String test=getClass().getResource("lena.png").getPath();
     test = test.replace("/C:", "C:");//w ww. j  a  v a 2  s . co  m
     System.out.println(test);
     Mat image = Highgui.imread(test);*/

    // Detect faces in the image.
    // MatOfRect is a special container class for Rect.
    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);

    //  System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
    // Draw a bounding box around each face.
    for (Rect rect : faceDetections.toArray()) {
        Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
                new Scalar(0, 255, 0));
    }

    // Save the visualized detection.
    //  String filename = "faceDetection.png";
    //  System.out.println(String.format("Writing %s", filename));
    // Highgui.imwrite(filename, image);
}

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From source file:Domain.ImgProcess.java

public Mat DetectarFace(Canvas c, Mat image) throws IOException {
    System.out.println("Rodando DetectFace");

    CascadeClassifier faceDetector = new CascadeClassifier(
            "C:\\Users\\Gertrude\\Documents\\NetBeansProjects\\OWL_Sight\\src\\Resources\\lbpcascade_frontalface.xml"); // seleciona o classificador para identificao da face

    MatOfRect faceDetections = new MatOfRect(); //matriz de rectangulos representando os rosto encontrados
    faceDetector.detectMultiScale(image, faceDetections);//detecta multiplas faces na imagem fornecida

    System.out.printf("Detected %s faces", faceDetections.toArray().length);

    Mat corte = null;//from  www.  j  ava 2 s  .  c o  m

    for (Rect rect : faceDetections.toArray()) {
        Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
                new Scalar(0, 0, 0));// desenha os rectangulos

        // Highgui.imwrite("C:/TCC-FacialRecognize/src/resources/TESTECORTE.jpg", utl.corte(image, rect));
        corte = new Mat(image, rect);
    }

    Size sz = new Size(120, 120);

    MatOfByte bytemat = new MatOfByte(); //transformando a matriz image em uma matriz de bytes para carga no canvas do form principal
    Highgui.imencode(".jpg", corte, bytemat);
    byte[] bytes = bytemat.toArray();
    InputStream in = new ByteArrayInputStream(bytes);

    BufferedImage render = ImageIO.read(in);
    Graphics g = c.getGraphics();

    g.drawImage(render, 1, 1, c.getHeight(), c.getWidth(), c);

    return corte;
}

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From source file:dr.Interface.java

private void detect_BtnMouseClicked(java.awt.event.MouseEvent evt) {//GEN-FIRST:event_detect_BtnMouseClicked

    if (file != null) {
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

        CascadeClassifier faceDetector = new CascadeClassifier(HAAR_FILE_PATH);
        CascadeClassifier eyeDetector = new CascadeClassifier("src//dr//haarcascade_eye.xml");

        Mat image = Highgui.imread(file.getAbsolutePath());
        MatOfRect faceDetections = new MatOfRect();
        MatOfRect eyeDetections = new MatOfRect();

        faceDetector.detectMultiScale(image, faceDetections, scale, minN, 0, min, max);

        for (Rect rect : faceDetections.toArray()) {
            Core.rectangle(image, new Point(rect.x, rect.y),
                    new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
        }//from  www.j  av  a 2 s.  c  om
        if (eye_detection.isSelected()) {

            eyeDetector.detectMultiScale(image, eyeDetections, e_scale, e_minN, 0, e_min, e_max);
            for (Rect rect : eyeDetections.toArray()) {
                Core.circle(image, new Point(rect.x + rect.width / 2, rect.y + rect.width / 2), rect.width / 2,
                        new Scalar(255, 0, 255));
                Core.circle(image, new Point(rect.x + rect.width / 2, rect.y + rect.width / 2),
                        rect.width / 2 + 1, new Scalar(255, 0, 255));
                Core.circle(image, new Point(rect.x + rect.width / 2, rect.y + rect.width / 2),
                        rect.width / 2 + 1, new Scalar(255, 0, 255));
            }
        }
        String filename = file.getAbsolutePath().substring(0, file.getAbsolutePath().lastIndexOf("\\"))
                + "\\out.png";
        Highgui.imwrite(filename, image);
        BufferedImage i;
        try {
            if ((i = ImageIO.read(new File(filename))) != null) {
                current_image = i;
                loadImage_Lbl.setIcon(new ImageIcon(resize_image(i)));
            } else {
                JOptionPane.showMessageDialog(this, "Nu s-a detectat nimic!", "Info",
                        JOptionPane.INFORMATION_MESSAGE);
            }
        } catch (IOException ex) {
            Logger.getLogger(Interface.class.getName()).log(Level.SEVERE, null, ex);
        }
    }
}

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From source file:drawing.application.FaceDetection.java

License:Open Source License

@Override
public void run() {
    CascadeClassifier faceDetector = new CascadeClassifier("lbpcascade_frontalface.xml");
    Mat image = Imgcodecs.imread(filePath);

    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);

    for (Rect rect : faceDetections.toArray()) {
        Imgproc.rectangle(image, new Point(rect.x, rect.y),
                new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
    }//from ww  w .  jav a  2 s .co m

    System.out.println(String.format("Writing %s", filePath));
    Imgcodecs.imwrite(filePath, image);

    int numFaces = faceDetections.toArray().length;
    JOptionPane.showMessageDialog(null,
            "Detected " + faceDetections.toArray().length + (numFaces == 1 ? " face" : " faces"));
}

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From source file:edu.fiu.cate.breader.BaseSegmentation.java

/**
 * Finds the bounding box for the book on the stand using 
 * the high resolution image./*from   w w w. j  av a2s  .  c  o  m*/
 * @param src- High Resolution image of the book
 * @return Rectangle delineating the book
 */
public Rect highRes(Mat src) {
    Mat dst = src.clone();
    Imgproc.blur(src, dst, new Size(100.0, 100.0), new Point(-1, -1), Core.BORDER_REPLICATE);
    Imgproc.threshold(dst, dst, 0, 255, Imgproc.THRESH_BINARY_INV + Imgproc.THRESH_OTSU);
    Imgproc.Canny(dst, dst, 50, 200, 3, false);

    List<MatOfPoint> contours = new LinkedList<>();
    Mat hierarchy = new Mat();
    Imgproc.findContours(dst, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE,
            new Point(0, 0));

    Mat color = new Mat();
    Imgproc.cvtColor(src, color, Imgproc.COLOR_GRAY2BGR);
    for (int k = 0; k < contours.size(); k++) {
        byte[] vals = ITools.getHeatMapColor((float) k / (float) contours.size());
        Imgproc.drawContours(color, contours, k, new Scalar(vals[0], vals[1], vals[2]), 8);
    }
    new IViewer("HighRes Contours ", BReaderTools.bufferedImageFromMat(color));

    Point center = new Point(src.cols() / 2, src.rows() / 2);
    //Check hierarchy tree
    int[] res = polySearch(center, hierarchy, contours, 0);
    while (res[0] != 1 && res[2] != -1) {
        res = polySearch(center, hierarchy, contours, res[2]);
        if (res[0] == 1)
            break;
    }

    MatOfInt tHull = new MatOfInt();
    int index = 0;
    if (res[1] != -1) {
        index = res[1];
    }
    Imgproc.convexHull(contours.get(index), tHull);

    //get bounding box
    MatOfPoint cont = contours.get(index);
    Point[] points = new Point[tHull.rows()];
    for (int i = 0; i < tHull.rows(); i++) {
        int pIndex = (int) tHull.get(i, 0)[0];
        points[i] = new Point(cont.get(pIndex, 0));
    }
    Rect out = Imgproc.boundingRect(new MatOfPoint(points));
    return out;
}

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From source file:edu.fiu.cate.breader.BaseSegmentation.java

/**
 * Finds the bounding box for the book on the stand using 
 * the depth average image./* w w w.  j ava  2 s .  co  m*/
 * @param src- The Depth average image
 * @return Rectangle delineating the book
 */
public Rect lowResDist(Mat src) {
    Mat dst = src.clone();

    Imgproc.blur(src, dst, new Size(5, 5), new Point(-1, -1), Core.BORDER_REPLICATE);
    //      Imgproc.threshold(dst, dst, 0,255,Imgproc.THRESH_BINARY_INV+Imgproc.THRESH_OTSU);
    Imgproc.Canny(dst, dst, 50, 200, 3, false);
    //      Canny(src, dst, 20, 60, 3);

    List<MatOfPoint> contours = new LinkedList<>();
    Mat hierarchy = new Mat();
    /// Find contours
    Imgproc.findContours(dst, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE,
            new Point(0, 0));

    Mat color = new Mat();
    Imgproc.cvtColor(src, color, Imgproc.COLOR_GRAY2BGR);
    for (int k = 0; k < contours.size(); k++) {
        byte[] vals = ITools.getHeatMapColor((float) k / (float) contours.size());
        Imgproc.drawContours(color, contours, k, new Scalar(vals[0], vals[1], vals[2]), 1);
    }
    new IViewer("LowRes Contours ", BReaderTools.bufferedImageFromMat(color));

    for (int k = 0; k < contours.size(); k++) {
        MatOfPoint2f tMat = new MatOfPoint2f();
        Imgproc.approxPolyDP(new MatOfPoint2f(contours.get(k).toArray()), tMat, 5, true);
        contours.set(k, new MatOfPoint(tMat.toArray()));
    }

    List<Point> points = new LinkedList<Point>();
    for (int i = 0; i < contours.size(); i++) {
        points.addAll(contours.get(i).toList());
    }

    MatOfInt tHull = new MatOfInt();
    Imgproc.convexHull(new MatOfPoint(points.toArray(new Point[points.size()])), tHull);

    //get bounding box
    Point[] tHullPoints = new Point[tHull.rows()];
    for (int i = 0; i < tHull.rows(); i++) {
        int pIndex = (int) tHull.get(i, 0)[0];
        tHullPoints[i] = points.get(pIndex);
    }
    Rect out = Imgproc.boundingRect(new MatOfPoint(tHullPoints));
    return out;
}

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