OpenCV Java微笑检测

Question

我试图用在互联网上找到的源代码创建一个微笑检测器。它能检测人脸，效果很好。它使用了Haar分类器，我找到了用于微笑识别的Haar分类器，并尝试了它，但它不起作用。我试着用识别人脸的方法来使用它。用眼睛分类器也尝试了同样的方法，并且成功了。我在opencv/data文件夹中找到的所有分类器，有人能给我一个提示吗？我可以用给定的代码做更多的事情吗？

import java.io.File;
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.highgui.Highgui;
import org.opencv.objdetect.CascadeClassifier;

public class SmileDetector {

public void detectSmile(String filename) {
    System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
    System.out.println("\nRunning SmileDetector");

    CascadeClassifier faceDetector = new CascadeClassifier(new File(
            "src/main/resources/haarcascade_frontalface_alt.xml").getAbsolutePath());
    CascadeClassifier smileDetector = new CascadeClassifier(
            new File("src/main/resources/haarcascade_smile.xml").getAbsolutePath());
    Mat image = Highgui.imread(filename);
    MatOfRect faceDetections = new MatOfRect();
    MatOfRect smileDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);

    System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));

    for (Rect rect : faceDetections.toArray()) {
        Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
                new Scalar(0, 255, 0));
    }
    Mat face = image.submat(faceDetections.toArray()[0]);
    smileDetector.detectMultiScale(face, smileDetections);

    for (Rect rect : smileDetections.toArray()) {
        Core.rectangle(face, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height),
                new Scalar(0, 255, 0));
    }

    String outputFilename = "ouput.png";
    System.out.println(String.format("Writing %s", outputFilename));
    Highgui.imwrite(outputFilename, image);
    Highgui.imwrite("ee.png", face);
}
}

Answer 1

回答Vi Matviichuk评论：是的，我部分能够解决这个问题。我用嘴分类器代替了微笑，opencv样本中的嘴html" target="_blank">分类器的名字是haarcascade_mcs_mouth.xml；然后你寻找脸，裁剪它们，在脸上寻找嘴。然而，它会给你很多嘴，所以你必须通过以下方式过滤它们：

/**
 * Detects face(s) and then for each detects and crops mouth
 * 
 * @param filename path to file on which smile(s) will be detected
 * @return List of Mat objects with cropped mouth pictures.
 */
private ArrayList<Mat> detectMouth(String filename) {
    int i = 0;
    ArrayList<Mat> mouths = new ArrayList<Mat>();
    // reading image in grayscale from the given path
    image = Highgui.imread(filename, Highgui.CV_LOAD_IMAGE_GRAYSCALE);
    MatOfRect faceDetections = new MatOfRect();
    // detecting face(s) on given image and saving them to MatofRect object
    faceDetector.detectMultiScale(image, faceDetections);
    System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
    MatOfRect mouthDetections = new MatOfRect();
    // detecting mouth(s) on given image and saving them to MatOfRect object
    mouthDetector.detectMultiScale(image, mouthDetections);
    System.out.println(String.format("Detected %s mouths", mouthDetections.toArray().length));
    for (Rect face : faceDetections.toArray()) {
        Mat outFace = image.submat(face);
        // saving cropped face to picture
        Highgui.imwrite("face" + i + ".png", outFace);
        for (Rect mouth : mouthDetections.toArray()) {
            // trying to find right mouth
            // if the mouth is in the lower 2/5 of the face
            // and the lower edge of mouth is above of the face
            // and the horizontal center of the mouth is the enter of the face
            if (mouth.y > face.y + face.height * 3 / 5 && mouth.y + mouth.height < face.y + face.height
                    && Math.abs((mouth.x + mouth.width / 2)) - (face.x + face.width / 2) < face.width / 10) {
                Mat outMouth = image.submat(mouth);
                // resizing mouth to the unified size of trainSize
                Imgproc.resize(outMouth, outMouth, trainSize);
                mouths.add(outMouth);
                // saving mouth to picture 
                Highgui.imwrite("mouth" + i + ".png", outMouth);
                i++;
            }
        }
    }
    return mouths;
}

然后你必须找到一个微笑，我试着用SVM训练机来做这个，但是我没有足够的样本，所以它不是完美的。但是，我得到的全部代码可以在这里找到：https://bitbucket.org/cybuch/smile-detector/src/ac8a309454c3467ffd8bc1c34ad95879cb059328/src/main/java/org/cybuch/smiledetector/SmileDetector.java?at=master