Java+OpenCV实现人脸检测并自动拍照

Java+OpenCV实现人脸检测并自动拍照

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"))OkYeNCA;

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http://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

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("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);

}

}

完整源码下载地址：Java+OpenCV实现人脸检测并拍照

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("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);

}

}

完整源码下载地址：Java+OpenCV实现人脸检测并拍照

版权声明：本文内容由网络用户投稿，版权归原作者所有，本站不拥有其著作权，亦不承担相应法律责任。如果您发现本站中有涉嫌抄袭或描述失实的内容，请联系我们jiasou666@gmail.com 处理，核实后本网站将在24小时内删除侵权内容。