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This article mainly explains "how to use Java+OpenCV to achieve face detection and automatic photography", the content of the explanation is simple and clear, easy to learn and understand, now please follow the editor's ideas slowly in depth, together to study and learn "how to use Java+OpenCV to achieve face detection and automatic photography" bar!

Java+opencv implements face detection. The laptop camera is called to capture the face in real time. The face is marked with a red border, and the captured directory is stored under src. The name of the image is time stamp.

Environment configuration: win7 64-bit, 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 / * dynamic face detection and cropping * @ 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 (); / / create a video capture object camera.open (0) in Opencv The 0 in the / / open function represents the camera with an index of 0 in the current computer. If your computer has multiple cameras, then one at a time. If (! camera.isOpened ()) {/ / isOpened function is used to determine whether the camera call is successful or not System.out.println ("Camera Error"); / / if the camera call fails, output the error message} else {Mat frame = new Mat (); / / create an output frame while (flag = = 0) {camera.read (frame) / / the read method reads the current frame of the camera / / 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 item0) I rectCrop.height + rectCrop.width) {rectCrop = new Rect (rect.x, rect.y, rect.width, rect.height);} System.out.println (String.format ("% s faces detected! ", 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) }} / / convert image format and output label.setIcon (new ImageIcon (mat2BufferedImage.matToBufferedImage (frame); try {Thread.sleep (500); / / Thread pause 500ms} catch (InterruptedException e) {/ / TODO Auto-generated catch block e.printStackTrace ();} / / if (faceCount > 0) {/ / faceSerialCount++;// System.out.println (faceSerialCount) / /} else {/ / faceSerialCount = 0.png /} / if (faceSerialCount > 6) {/ / Mat imageRoi = new Mat (frame, rectCrop); / / Highgui.imwrite (".png", imageRoi); / / faceSerialCount = 0ram /} private CameraBasic () {initialize ();} private void initialize () {frame = new JFrame (); frame.setBounds (100,100,600) Frame.setDefaultCloseOperation (JFrame.EXIT_ON_CLOSE); frame.getContentPane (). SetLayout (null); label = new JLabel (""); label.setBounds (0,0,500); frame.getContentPane (). Add (label) }} Thank you for reading, the above is the content of "how to use Java+OpenCV to achieve face detection and automatic photo shooting". After the study of this article, I believe you have a deeper understanding of how to use Java+OpenCV to achieve face detection and automatic photo shooting, and the specific use needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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