OpenCV Java Smile Detection

Question

我尝试使用我在互联网上找到的源代码创建一个微笑探测器。它可以检测到脸部并且效果很好。它使用Haar分类器，我发现Haar分类器用于微笑识别并尝试了它，但它不起作用。我尝试以与识别脸部相同的方式使用它。尝试使用眼睛分类器 - 它起作用了。我在opencv / data文件夹中找到的所有分类器，有人可以给我一个提示，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，我部分能够解决问题。我使用口分类器而不是微笑，opencv样本的口分类名称为haarcascade_mcs_mouth.xml;然后你寻找面孔，裁剪它们，并在脸上寻找嘴巴。但是它会给你很多口，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，我试图用SVM训练机做到这一点，但我没有足够的样本，所以它并不完美。但是，我可以在这里找到完整的代码：https://bitbucket.org/cybuch/smile-detector/src/ac8a309454c3467ffd8bc1c34ad95879cb059328/src/main/java/org/cybuch/smiledetector/SmileDetector.java?at=master