OpenCV Tutorial
Types of Images
Image Conversion
Drawing Functions
Blur
Filtering
Thresholding
Sobel Derivatives
Transformation Operations
Camera and Face Detection
Geometric Transformations
Miscellaneous Chapters
OpenCV Useful Resources
Selected Reading
- OpenCV - GUI
- OpenCV - Writing an Image
- OpenCV - Reading Images
- OpenCV - Storing Images
- OpenCV - Environment
- OpenCV - Overview
- OpenCV - Home
Types of Images
Image Conversion
Drawing Functions
- OpenCV - Adding Text
- OpenCV - Drawing Arrowed Lines
- OpenCV - Drawing Convex Polylines
- OpenCV - Drawing Polylines
- OpenCV - Drawing an Ellipse
- OpenCV - Drawing a Rectangle
- OpenCV - Drawing a Line
- OpenCV - Drawing a Circle
Blur
Filtering
- OpenCV - Image Pyramids
- OpenCV - Morphological Operations
- OpenCV - Erosion
- OpenCV - Dilation
- OpenCV - Filter2D
- OpenCV - SQRBox Filter
- OpenCV - Box Filter
- OpenCV - Bilateral Filter
Thresholding
Sobel Derivatives
Transformation Operations
Camera and Face Detection
Geometric Transformations
Miscellaneous Chapters
OpenCV Useful Resources
Selected Reading
- Who is Who
- Computer Glossary
- HR Interview Questions
- Effective Resume Writing
- Questions and Answers
- UPSC IAS Exams Notes
Face Detection using Camera
OpenCV - Face Detection using Camera
The following program demonstrates how to detect faces using system camera and display it using JavaFX window.
Example
import java.awt.image.BufferedImage; import java.awt.image.DataBufferByte; import java.awt.image.WritableRaster; import java.io.FileNotFoundException; import java.io.IOException; import javafx.apppcation.Apppcation; import javafx.embed.swing.SwingFXUtils; import javafx.scene.Group; import javafx.scene.Scene; import javafx.scene.image.ImageView; import javafx.scene.image.WritableImage; import javafx.stage.Stage; import org.opencv.core.Core; import org.opencv.core.Mat; import org.opencv.core.MatOfRect; import org.opencv.core.Point; import org.opencv.core.Rect; import org.opencv.core.Scalar; import org.opencv.imgcodecs.Imgcodecs; import org.opencv.imgproc.Imgproc; import org.opencv.objdetect.CascadeClassifier; import org.opencv.videoio.VideoCapture; pubpc class faceDetectionJavaFXX extends Apppcation { Mat matrix = null; @Override pubpc void start(Stage stage) throws FileNotFoundException, IOException { // Capturing the snapshot from the camera faceDetectionJavaFXX obj = new faceDetectionJavaFXX(); WritableImage writableImage = obj.capureFrame(); // Saving the image obj.saveImage(); // Setting the image view ImageView imageView = new ImageView(writableImage); // setting the fit height and width of the image view imageView.setFitHeight(400); imageView.setFitWidth(600); // Setting the preserve ratio of the image view imageView.setPreserveRatio(true); // Creating a Group object Group root = new Group(imageView); // Creating a scene object Scene scene = new Scene(root, 600, 400); // Setting title to the Stage stage.setTitle("Capturing an image"); // Adding scene to the stage stage.setScene(scene); // Displaying the contents of the stage stage.show(); } pubpc WritableImage capureFrame() { WritableImage writableImage = null; // Loading the OpenCV core pbrary System.loadLibrary( Core.NATIVE_LIBRARY_NAME ); // Instantiating the VideoCapture class (camera:: 0) VideoCapture capture = new VideoCapture(0); // Reading the next video frame from the camera Mat matrix = new Mat(); capture.read(matrix); // If camera is opened if(!capture.isOpened()) { System.out.println("camera not detected"); } else System.out.println("Camera detected "); // If there is next video frame if (capture.read(matrix)) { /////// Detecting the face in the snap ///// String file = "E:/OpenCV/facedetect/lbpcascade_frontalface.xml"; CascadeClassifier classifier = new CascadeClassifier(file); MatOfRect faceDetections = new MatOfRect(); classifier.detectMultiScale(matrix, faceDetections); System.out.println(String.format("Detected %s faces", faceDetections.toArray().length)); // Drawing boxes for (Rect rect : faceDetections.toArray()) { Imgproc.rectangle( matrix, //where to draw the box new Point(rect.x, rect.y), //bottom left new Point(rect.x + rect.width, rect.y + rect.height), //top right new Scalar(0, 0, 255) //RGB colour ); } // Creating BuffredImage from the matrix BufferedImage image = new BufferedImage(matrix.width(), matrix.height(), BufferedImage.TYPE_3BYTE_BGR); WritableRaster raster = image.getRaster(); DataBufferByte dataBuffer = (DataBufferByte) raster.getDataBuffer(); byte[] data = dataBuffer.getData(); matrix.get(0, 0, data); this.matrix = matrix; // Creating the Writable Image writableImage = SwingFXUtils.toFXImage(image, null); } return writableImage; } pubpc void saveImage() { // Saving the Image String file = "E:/OpenCV/chap23/facedetected.jpg"; // Instantiating the imagecodecs class Imgcodecs imageCodecs = new Imgcodecs(); // Saving it again imageCodecs.imwrite(file, matrix); } pubpc static void main(String args[]) { launch(args); } }
Output
On executing the program, you will get the following output.
If you open the specified path, you can see the same snapshot saved as a jpg image.
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