Face recognition using JavaCV

In this tutorial I’m going to explain how to write a simple java program for face detection using JavaCV.

Prerequisites

• Install NetBeans IDE with the appropriate JDK (7 or above) from here.
• Install OpenCV from here.
•  Download and extract JavaCV from here.

    Steps

1. Run NetBeans and create a new java project.
2. Then add relevant JavaCV libraries in to your project. (i.e. compatible to your platform, etc)
3. As this is for a simple demonstration you can add a new JFrame form in to your project and add a button in to the form.
4. Go to the source view of the form and add following imports in to your program.
               import static org.bytedeco.javacpp.opencv_core.*;
               import static org.bytedeco.javacpp.opencv_highgui.*;
               import org.bytedeco.javacpp.opencv_objdetect.CvHaarClassifierCascade;
               import static org.bytedeco.javacpp.opencv_objdetect.*;


Inside the button action event add following java code (Refer the comments inline to better understand the code)

//adding the path to the referring video   CvCapture capture=cvCreateFileCapture("src//Video.mp4");         IplImage frame = null;   for(;;)  {          frame=cvQueryFrame(capture);       //adding the path to haarcascade_frontalface_alt.xml file  CvHaarClassifierCascade cascade = new                                            CvHaarClassifierCascade(cvLoad(<<path>>\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml"));  CvMemStorage storage = cvCreateMemStorage(0);  CvSeq sign = cvHaarDetectObjects(frame, cascade, storage, 1.5, 3, CV_HAAR_SCALE_IMAGE);  int total_Faces = sign.total();   //showing the detected faces inside a RED colored rectangle   for(int i = 0; i < total_Faces; i++){       CvRect r = new CvRect(cvGetSeqElem(sign, i));       cvRectangle (frame,cvPoint(r.x(), r.y()), cvPoint(r.width() + r.x(), r.height() + r.y()), CvScalar.RED, 2, CV_AA, 0);  }       cvClearMemStorage(storage);  //Show the video with the detected faces   cvShowImage("Video",frame);  char c=(char)cvWaitKey(30);             if(c==27)break;       }  cvReleaseCapture(capture);  cvDestroyWindow("Image");