java - 如何使用OpenCV和Java来挽回面子和识别？

Question

我是 OpenCV 的新手。我能够从网络摄像头检测到人脸。我有点困惑如何保存检测到的人脸，如果那个人再次出现在镜头前如何保存和识别。

检测代码

private void detectAndDisplay(Mat frame)
{
    MatOfRect faces = new MatOfRect();
    Mat grayFrame = new Mat();

    // convert the frame in gray scale
    Imgproc.cvtColor(frame, grayFrame, Imgproc.COLOR_BGR2GRAY);
    // equalize the frame histogram to improve the result
    Imgproc.equalizeHist(grayFrame, grayFrame);

    // compute minimum face size (20% of the frame height, in our case)
    if (this.absoluteFaceSize == 0)
    {
        int height = grayFrame.rows();
        if (Math.round(height * 0.2f) > 0)
        {
            this.absoluteFaceSize = Math.round(height * 0.2f);
        }
    }

    // detect faces
    this.faceCascade.detectMultiScale(grayFrame, faces, 1.1, 2, 0 | Objdetect.CASCADE_SCALE_IMAGE,
            new Size(this.absoluteFaceSize, this.absoluteFaceSize), new Size());

    // each rectangle in faces is a face: draw them!
    Rect[] facesArray = faces.toArray();
    for (int i = 0; i < facesArray.length; i++)
        Imgproc.rectangle(frame, facesArray[i].tl(), facesArray[i].br(), new Scalar(0, 255, 0), 3);

}

Answer 1

如果你想保存检测到的人脸图像，也许你可以试试这样

for (int i = 0; i < facesArray.length; i++)
{   
     Imgproc.rectangle(frame, facesArray[i].tl(), facesArray[i].br(), new Scalar(0, 255, 0), 3);
     Rect rect(facesArray[i].tl().x, facesArray[i].tl().y, facesArray[i].br().x - facesArray[i].tl().x, facesArray[i].br().y - facesArray[i].tl().y);
     Mat cropFace = frame(rect);
     imwrite("./face"+i+".jpg", cropFace);
}