java+opencv實現人臉檢測，調用筆記本攝像頭實時抓拍，人臉會用紅色邊框標識出來，并且將抓拍的目錄存放在src下，圖片名稱是時間戳。

環境配置：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;

/**

* 動態人臉檢測并裁剪

* @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();//創建Opencv中的視頻捕捉對象

camera.open(0);//open函數中的0代表當前計算機中索引為0的攝像頭，如果你的計算機有多個攝像頭，那么一次1,2,3……

if (!camera.isOpened()) {//isOpened函數用來判斷攝像頭調用是否成功

System.out.println("Camera Error");//如果攝像頭調用失敗，輸出錯誤信息

} else {

Mat frame = new Mat();//創建一個輸出幀

while (flag == 0) {

camera.read(frame);//read方法讀取攝像頭的當前幀

// 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

Rect rect = rectArray[i];

Rect rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);

if (rect.width + rect.height > rectCrop.height + rectCrop.width) {

rectCrop = new Rect(rect.x, rect.y, rect.width, rect.height);

}

System.out.println(String.format("檢測到 %s 個人臉！ ", 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);

}

}

//轉換圖像格式并輸出

label.setIcon(new ImageIcon(mat2BufferedImage.matToBufferedImage(frame)));

try {

Thread.sleep(500);//線程暫停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);

}

}

完整源碼下載地址：Java+OpenCV實現人臉檢測并拍照

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