OPENCV+JAVA实现人脸识别

package opencv;  import com.sun.scenario.effect.ImageData; import org.opencv.core.*; import org.opencv.core.Point; import org.opencv.highgui.Highgui; import org.opencv.imgproc.Imgproc; import org.opencv.objdetect.CascadeClassifier;  import javax.imageio.ImageIO; import javax.swing.*; import java.awt.*; import java.awt.image.BufferedImage; import java.io.File; import java.io.IOException; import java.util.Arrays; import java.util.Vector;  /**  * Created by Administrator on 2017/8/17.  */ public class Test {   static{  // 导入opencv的库  String opencvpath = System.getProperty("user.dir") + "//opencv//x64//";  String libPath = System.getProperty("java.library.path");  String a = opencvpath + Core.NATIVE_LIBRARY_NAME + ".dll";  System.load(opencvpath + Core.NATIVE_LIBRARY_NAME + ".dll");  }   public static String getCutPath(String filePath){  String[] splitPath = filePath.split("//.");  return splitPath[0]+"Cut"+"."+splitPath[1];  }   public static void process(String original,String target) throws Exception {  String originalCut = getCutPath(original);  String targetCut = getCutPath(target);  if(detectFace(original,originalCut) && detectFace(target,targetCut)){   }  }   public static boolean detectFace(String imagePath,String outFile) throws Exception  {   System.out.println("/nRunning DetectFaceDemo");  // 从配置文件lbpcascade_frontalface.xml中创建一个人脸识别器，该文件位于opencv安装目录中  CascadeClassifier faceDetector = new CascadeClassifier(   "C://Users//Administrator//Desktop//opencv//haarcascade_frontalface_alt.xml");  Mat image = Highgui.imread(imagePath);   // 在图片中检测人脸  MatOfRect faceDetections = new MatOfRect();  faceDetector.detectMultiScale(image, faceDetections);   System.out.println(String.format("Detected %s faces",   faceDetections.toArray().length));   Rect[] rects = faceDetections.toArray();  if(rects != null && rects.length > 1){   throw new RuntimeException("超过一个脸");  }  // 在每一个识别出来的人脸周围画出一个方框  Rect rect = rects[0];  Core.rectangle(image, new Point(rect.x-2, rect.y-2), new Point(rect.x   + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));  Mat sub = image.submat(rect);  Mat mat = new Mat();  Size size = new Size(300, 300);  Imgproc.resize(sub, mat, size);//将人脸进行截图并保存  return Highgui.imwrite(outFile, mat);    // 将结果保存到文件 // String filename = "C://Users//Administrator//Desktop//opencv//faceDetection.png"; // System.out.println(String.format("Writing %s", filename)); // Highgui.imwrite(filename, image);  }   public static void setAlpha(String imagePath,String outFile) {  /**   * 增加测试项   * 读取图片，绘制成半透明   */  try {    ImageIcon imageIcon = new ImageIcon(imagePath);   BufferedImage bufferedImage = new BufferedImage(imageIcon.getIconWidth(),imageIcon.getIconHeight()    , BufferedImage.TYPE_4BYTE_ABGR);   Graphics2D g2D = (Graphics2D) bufferedImage.getGraphics();   g2D.drawImage(imageIcon.getImage(), 0, 0,    imageIcon.getImageObserver());   //循环每一个像素点，改变像素点的Alpha值   int alpha = 100;   for (int j1 = bufferedImage.getMinY(); j1 < bufferedImage.getHeight(); j1++) {   for (int j2 = bufferedImage.getMinX(); j2 < bufferedImage.getWidth(); j2++) {    int rgb = bufferedImage.getRGB(j2, j1);    rgb = ( (alpha + 1) << 24) | (rgb & 0x00ffffff);    bufferedImage.setRGB(j2, j1, rgb);   }   }   g2D.drawImage(bufferedImage, 0, 0, imageIcon.getImageObserver());    //生成图片为PNG    ImageIO.write(bufferedImage, "png", new File(outFile));  }  catch (Exception e) {   e.printStackTrace();  }   }   private static void watermark(String a,String b,String outFile, float alpha) throws IOException {  // 获取底图    BufferedImage buffImg = ImageIO.read(new File(a));    // 获取层图    BufferedImage waterImg = ImageIO.read(new File(b));    // 创建Graphics2D对象，用在底图对象上绘图    Graphics2D g2d = buffImg.createGraphics();    int waterImgWidth = waterImg.getWidth();// 获取层图的宽度    int waterImgHeight = waterImg.getHeight();// 获取层图的高度    // 在图形和图像中实现混合和透明效果    g2d.setComposite(AlphaComposite.getInstance(AlphaComposite.SRC_ATOP, alpha));    // 绘制    g2d.drawImage(waterImg, 0, 0, waterImgWidth, waterImgHeight, null);    g2d.dispose();// 释放图形上下文使用的系统资源  //生成图片为PNG   ImageIO.write(buffImg, "png", new File(outFile));  }   public static boolean mergeSimple(BufferedImage image1, BufferedImage image2, int posw, int posh, File fileOutput) {   //合并两个图像  int w1 = image1.getWidth();  int h1 = image1.getHeight();  int w2 = image2.getWidth();  int h2 = image2.getHeight();   BufferedImage imageSaved = new BufferedImage(w1, h1, BufferedImage.TYPE_INT_ARGB);  Graphics2D g2d = imageSaved.createGraphics();    // 增加下面代码使得背景透明   g2d.drawImage(image1, null, 0, 0);  image1 = g2d.getDeviceConfiguration().createCompatibleImage(w1, w2, Transparency.TRANSLUCENT);  g2d.dispose();  g2d = image1.createGraphics();  // 背景透明代码结束  // for (int i = 0; i < w2; i++) { //  for (int j = 0; j < h2; j++) { //  int rgb1 = image1.getRGB(i + posw, j + posh); //  int rgb2 = image2.getRGB(i, j); // //  if (rgb1 != rgb2) { //   //rgb2 = rgb1 & rgb2; //  } //  imageSaved.setRGB(i + posw, j + posh, rgb2); //  } // }   boolean b = false;  try {   b = ImageIO.write(imageSaved, "png", fileOutput);  } catch (IOException ie) {   ie.printStackTrace();  }  return b;  }   public static void main(String[] args) throws Exception {  String a,b,c,d;  a = "C://Users//Administrator//Desktop//opencv//zzl.jpg";  d = "C://Users//Administrator//Desktop//opencv//cgx.jpg";  //process(a,d);  a = "C://Users//Administrator//Desktop//opencv//zzlCut.jpg";  d = "C://Users//Administrator//Desktop//opencv//cgxCut.jpg";   CascadeClassifier faceDetector = new CascadeClassifier(   "C://Users//Administrator//Desktop//opencv//haarcascade_frontalface_alt.xml");   CascadeClassifier eyeDetector1 = new CascadeClassifier(   "C://Users//Administrator//Desktop//opencv//haarcascade_eye.xml");   CascadeClassifier eyeDetector2 = new CascadeClassifier(   "C://Users//Administrator//Desktop//opencv//haarcascade_eye_tree_eyeglasses.xml");   Mat image = Highgui.imread("C://Users//Administrator//Desktop//opencv//gakki.jpg");  // 在图片中检测人脸  MatOfRect faceDetections = new MatOfRect();  //eyeDetector2.detectMultiScale(image, faceDetections);  Vector<Rect> objects;  eyeDetector1.detectMultiScale(image, faceDetections, 2.0,1,1,new Size(20,20),new Size(20,20));   Rect[] rects = faceDetections.toArray();  Rect eyea,eyeb;  eyea = rects[0];eyeb = rects[1];     System.out.println("a-中心坐标 " + eyea.x + " and " + eyea.y);  System.out.println("b-中心坐标 " + eyeb.x + " and " + eyeb.y);   //获取两个人眼的角度  double dy=(eyeb.y-eyea.y);  double dx=(eyeb.x-eyea.x);  double len=Math.sqrt(dx*dx+dy*dy);  System.out.println("dx is "+dx);  System.out.println("dy is "+dy);  System.out.println("len is "+len);   double angle=Math.atan2(Math.abs(dy),Math.abs(dx))*180.0/Math.PI;  System.out.println("angle is "+angle);   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));  }  String filename = "C://Users//Administrator//Desktop//opencv//ouput.png";  System.out.println(String.format("Writing %s", filename));  Highgui.imwrite(filename, image);  // watermark(a,d,"C://Users//Administrator//Desktop//opencv//zzlTm2.jpg",0.7f); // // // 读取图像，不改变图像的原始信息 // Mat image1 = Highgui.imread(a); // Mat image2 = Highgui.imread(d); // Mat mat1 = new Mat();Mat mat2 = new Mat(); // Size size = new Size(300, 300); // Imgproc.resize(image1, mat1, size); // Imgproc.resize(image2, mat2, size); // Mat mat3 = new Mat(size,CvType.CV_64F); // //Core.addWeighted(mat1, 0.5, mat2, 1, 0, mat3); // // //Highgui.imwrite("C://Users//Administrator//Desktop//opencv//add.jpg", mat3); // // mergeSimple(ImageIO.read(new File(a)), //  ImageIO.read(new File(d)),0,0, //  new File("C://Users//Administrator//Desktop//opencv//add.jpg"));  } }