OpenCV_Subdiv2dMakeDelaunayForFaceByWebCam.java
import javax.swing.JFrame;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfFloat6;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfPoint2f;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.imgproc.Imgproc;
import org.opencv.imgproc.Subdiv2D;
import org.opencv.objdetect.CascadeClassifier;
import org.opencv.videoio.VideoCapture;
public class OpenCV_Subdiv2dMakeDelaunayForFaceByWebCam {
static {
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
}
public static void main(String arg[]) {
VideoCapture capture = new VideoCapture();
capture.open(0);
JFrame frame1 = new JFrame("show image");
frame1.setTitle("Feinteilungsmessung des menschlichen Körpers");
frame1.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
frame1.setSize(640, 480);
frame1.setBounds(0, 0, frame1.getWidth(), frame1.getHeight());
Panel panel1 = new Panel();
frame1.setContentPane(panel1);
frame1.setVisible(true);
int CenterX=304;
int CenterY=276;
//Menschliches Schwert(Auge,Nase,Augenbraue,Schnabel)68 Schlüsselkoordinaten
float[][] faceData={
{207, 242},
{210, 269},
{214, 297},
{220, 322},
{229, 349},
{243, 373},
{261, 394},
{282, 412},
{308, 416},
{334, 408},
{356, 388},
{374, 367},
{388, 344},
{397, 319},
{403, 291},
{405, 263},
{408, 235},
{221, 241},
{232, 225},
{250, 219},
{270, 219},
{289, 223},
{320, 222},
{339, 216},
{358, 215},
{375, 220},
{387, 233},
{304, 240},
{304, 259},
{304, 277},
{304, 296},//center
{281, 311},
{292, 312},
{303, 314},
{315, 310},
{326, 307},
{243, 247},
{254, 240},
{266, 239},
{276, 245},
{266, 247},
{254, 249},
{332, 243},
{343, 236},
{356, 236},
{367, 242},
{356, 245},
{344, 245},
{263, 346},
{278, 341},
{293, 336},
{303, 340},
{315, 335},
{331, 338},
{348, 342},
{332, 353},
{318, 360},
{305, 362},
{294, 361},
{279, 356},
{270, 347},
{293, 347},
{304, 348},
{316, 345},
{342, 343},
{316, 345},
{304, 348},
{294, 347}
};
if (!capture.isOpened()) {
System.out.println("Error");
} else {
Mat webcam_image = new Mat();
capture.read(webcam_image);
frame1.setSize(webcam_image.width() + 10,webcam_image.height() + 20);
CascadeClassifier faceDetector = new CascadeClassifier("D:\\projects\\Java\\opencv\\build\\etc\\haarcascades\\haarcascade_frontalface_alt.xml");
MatOfRect faceDetections = new MatOfRect();
while (true) {
capture.read(webcam_image);
if( !webcam_image.empty() ){
faceDetector.detectMultiScale(webcam_image, faceDetections);
for (Rect rect : faceDetections.toArray()) {
//Imgproc.rectangle(webcam_image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),new Scalar(0, 255, 0),3);
//System.out.println("center="+(rect.x + (int)rect.width/2)+","+(rect.y + (int)rect.height/2));
try {
//Verwenden Sie Haar+adaBoost Defender ROI,Erneuerung 68 點 Koordinatenumwandlung
int diffX=(rect.x + (int)rect.width/2)-CenterX;
int diffY=(rect.y + (int)rect.height/2)-CenterY;
float[][] newFace=HandleFaceKeyPoints(faceData,diffX,diffY);
//Subdiv2D Delaunay-Dreieck-Kaisei
MatOfPoint2f obj=new MatOfPoint2f();
List<Point> allPoints=new ArrayList<Point>();
//System.out.println(faceData[0][0]+","+faceData[0][1]);
for(int j=0;j<68;j++){
allPoints.add(new Point(newFace[j][0],newFace[j][1]));
}
Rect rectSubdiv2D=new Rect(0,0,webcam_image.width(),webcam_image.height());
Subdiv2D subdiv=new Subdiv2D(rectSubdiv2D);
obj.fromList(allPoints);
subdiv.insert(obj);
MatOfInt idx=new MatOfInt();
List<MatOfPoint2f> facetList=new ArrayList<MatOfPoint2f>();
MatOfPoint2f facetCenters=new MatOfPoint2f();
subdiv.getVoronoiFacetList(idx, facetList, facetCenters);
for(int j=0;j<68;j++){
Point tmpPoint=allPoints.get(j);
Imgproc.circle(webcam_image, tmpPoint,4, new Scalar(0,0,255), -1);
}
MatOfFloat6 triangleList = new MatOfFloat6();
subdiv.getTriangleList(triangleList);
//System.out.println(triangleList.dump());
for(int j=0;j<triangleList.rows();j++){
double dataU=triangleList.get(j, 0)[0];
double dataV=triangleList.get(j, 0)[1];
double dataW=triangleList.get(j, 0)[2];
double dataX=triangleList.get(j, 0)[3];
double dataY=triangleList.get(j, 0)[4];
double dataZ=triangleList.get(j, 0)[5];
Point p1=new Point(dataU,dataV);
Point p2=new Point(dataW,dataX);
Point p3=new Point(dataY,dataZ);
Imgproc.line(webcam_image, p1, p2, new Scalar(64,255,128));
Imgproc.line(webcam_image, p2, p3, new Scalar(64,255,128));
Imgproc.line(webcam_image, p3, p1, new Scalar(64,255,128));
//System.out.println(dataU+","+dataV+","+dataW+","+dataX+","+dataY+","+dataZ);
}
///Subdiv2D-e
} catch (Exception e) {
System.out.println(e);
}
}
System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
panel1.setimagewithMat(webcam_image);
frame1.repaint();
}else{
capture.release();
break;
}
}
}
}
//Koordinatenkonvertierungsmethode
public static float[][] HandleFaceKeyPoints(float[][] standard,int shiftX,int shiftY){
float[][] newFacePoints=new float[68][2];
for(int i=0;i<68;i++){
newFacePoints[i][0]=standard[i][0]+shiftX;
newFacePoints[i][1]=standard[i][1]+shiftY;
}
return newFacePoints;
}
}
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