怎么用Java+OpenCV实现人脸检测并自动拍照

这篇文章主要讲解了"怎么用Java+OpenCV实现人脸检测并自动拍照"，文中的讲解内容简单清晰，易于学习与理解，下面请大家跟着小编的思路慢慢深入，一起来研究和学习"怎么用Java+OpenCV实现人脸检测并自动拍照"吧！

java+opencv实现人脸检测，调用笔记本摄像头实时抓拍，人脸会用红色边框标识出来，并且将抓拍的目录存放在src下，图片名称是时间戳。

环境配置：win7 64位，jdk1.8

CameraBasic.java

package com.njupt.zhb.test;import java.awt.EventQueue;import javax.swing.ImageIcon;import javax.swing.JFrame;import javax.swing.JLabel;import org.opencv.core.*;import org.opencv.highgui.Highgui;import org.opencv.highgui.VideoCapture;import org.opencv.imgproc.Imgproc;import org.opencv.objdetect.CascadeClassifier;/** * 动态人脸检测并裁剪 * @author hyj * */public class CameraBasic { static {  System.out.println(System.getProperty("java.library.path"));   System.loadLibrary(Core.NATIVE_LIBRARY_NAME); } private JFrame frame; private static JLabel label; private static int flag = 0; public static void main(String[] args) {  EventQueue.invokeLater(new Runnable() {   @Override   public void run() {    try {     CameraBasic window = new CameraBasic();     window.frame.setVisible(true);    } catch (Exception e) {     e.printStackTrace();    }   }  });  VideoCapture camera = new VideoCapture();//创建Opencv中的视频捕捉对象  camera.open(0);//open函数中的0代表当前计算机中索引为0的摄像头，如果你的计算机有多个摄像头，那么一次1,2,3……  if (!camera.isOpened()) {//isOpened函数用来判断摄像头调用是否成功   System.out.println("Camera Error");//如果摄像头调用失败，输出错误信息  } else {   Mat frame = new Mat();//创建一个输出帧   while (flag == 0) {    camera.read(frame);//read方法读取摄像头的当前帧//    CascadeClassifier faceDetector = new CascadeClassifier("src/com/njupt/zhb/test/lbpcascade_frontalface.xml");    CascadeClassifier faceDetector = new CascadeClassifier("src/com/njupt/zhb/test/haarcascade_frontalface_alt.xml");    MatOfRect faceDetections = new MatOfRect();    faceDetector.detectMultiScale(frame, faceDetections);    Rect [] rectArray = faceDetections.toArray();    if (rectArray.length > 0) {          for (int i=0;i rectCrop.height + rectCrop.width) {       rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);      }       System.out.println(String.format("检测到 %s 个人脸！ ", rectArray.length));       Mat imageRoi = new Mat(frame, rectCrop);       String name = System.currentTimeMillis()+".png";       Highgui.imwrite(name, imageRoi);                   Core.rectangle(frame, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 0, 255), 2);     }    }        //转换图像格式并输出    label.setIcon(new ImageIcon(mat2BufferedImage.matToBufferedImage(frame)));    try {     Thread.sleep(500);//线程暂停500ms    } catch (InterruptedException e) {     // TODO Auto-generated catch block     e.printStackTrace();    }            //    if (faceCount > 0) {//     faceSerialCount++;//     System.out.println(faceSerialCount);//    } else {//     faceSerialCount = 0;//    }////    if (faceSerialCount > 6) {//     Mat imageRoi = new Mat(frame, rectCrop);//     Highgui.imwrite("haha.png", imageRoi);//     faceSerialCount = 0;//    }   }  } } private CameraBasic() {  initialize(); } private void initialize() {  frame = new JFrame();  frame.setBounds(100, 100, 1000, 600);  frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);  frame.getContentPane().setLayout(null);  label = new JLabel("");  label.setBounds(0, 0, 1000, 500);  frame.getContentPane().add(label); }  }

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